|
--- |
|
tags: |
|
- mms |
|
language: |
|
- ab |
|
- af |
|
- ak |
|
- am |
|
- ar |
|
- as |
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- av |
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- ay |
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- az |
|
- ba |
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- bm |
|
- be |
|
- bn |
|
- bi |
|
- bo |
|
- sh |
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- br |
|
- bg |
|
- ca |
|
- cs |
|
- ce |
|
- cv |
|
- ku |
|
- cy |
|
- da |
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- de |
|
- dv |
|
- dz |
|
- el |
|
- en |
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- eo |
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- et |
|
- eu |
|
- ee |
|
- fo |
|
- fa |
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- fj |
|
- fi |
|
- fr |
|
- fy |
|
- ff |
|
- ga |
|
- gl |
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- gn |
|
- gu |
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- zh |
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- ht |
|
- ha |
|
- he |
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- hi |
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- sh |
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- hu |
|
- hy |
|
- ig |
|
- ia |
|
- ms |
|
- is |
|
- it |
|
- jv |
|
- ja |
|
- kn |
|
- ka |
|
- kk |
|
- kr |
|
- km |
|
- ki |
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- rw |
|
- ky |
|
- ko |
|
- kv |
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- lo |
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- la |
|
- lv |
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- ln |
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- lt |
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- lb |
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- lg |
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- mh |
|
- ml |
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- mr |
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- ms |
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- mk |
|
- mg |
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- mt |
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- mn |
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- mi |
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- my |
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- zh |
|
- nl |
|
- 'no' |
|
- 'no' |
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- ne |
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- ny |
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- oc |
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- om |
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- or |
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- os |
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- pa |
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- pl |
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- pt |
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- ms |
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- ps |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- qu |
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- ro |
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- rn |
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- ru |
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- sg |
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- sk |
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- sl |
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- sm |
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- sn |
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- sd |
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- so |
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- es |
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- sq |
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- su |
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- sv |
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- sw |
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- ta |
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- tt |
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- te |
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- tg |
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- tl |
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- th |
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- ti |
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- ts |
|
- tr |
|
- uk |
|
- ms |
|
- vi |
|
- wo |
|
- xh |
|
- ms |
|
- yo |
|
- ms |
|
- zu |
|
- za |
|
license: cc-by-nc-4.0 |
|
datasets: |
|
- google/fleurs |
|
metrics: |
|
- acc |
|
--- |
|
|
|
# Massively Multilingual Speech (MMS) - Finetuned LID |
|
|
|
This checkpoint is a model fine-tuned for speech language identification (LID) and part of Facebook's [Massive Multilingual Speech project](https://research.facebook.com/publications/scaling-speech-technology-to-1000-languages/). |
|
This checkpoint is based on the [Wav2Vec2 architecture](https://huggingface.co/docs/transformers/model_doc/wav2vec2) and classifies raw audio input to a probability distribution over 1024 output classes (each class representing a language). |
|
The checkpoint consists of **1 billion parameters** and has been fine-tuned from [facebook/mms-1b](https://huggingface.co/facebook/mms-1b) on 1024 languages. |
|
|
|
## Table Of Content |
|
|
|
- [Example](#example) |
|
- [Supported Languages](#supported-languages) |
|
- [Model details](#model-details) |
|
- [Additional links](#additional-links) |
|
|
|
## Example |
|
|
|
This MMS checkpoint can be used with [Transformers](https://github.com/huggingface/transformers) to identify |
|
the spoken language of an audio. It can recognize the [following 1024 languages](#supported-languages). |
|
|
|
Let's look at a simple example. |
|
|
|
First, we install transformers and some other libraries |
|
``` |
|
pip install torch accelerate torchaudio datasets |
|
pip install --upgrade transformers |
|
```` |
|
|
|
**Note**: In order to use MMS you need to have at least `transformers >= 4.30` installed. If the `4.30` version |
|
is not yet available [on PyPI](https://pypi.org/project/transformers/) make sure to install `transformers` from |
|
source: |
|
``` |
|
pip install git+https://github.com/huggingface/transformers.git |
|
``` |
|
|
|
Next, we load a couple of audio samples via `datasets`. Make sure that the audio data is sampled to 16000 kHz. |
|
|
|
```py |
|
from datasets import load_dataset, Audio |
|
|
|
# English |
|
stream_data = load_dataset("mozilla-foundation/common_voice_13_0", "en", split="test", streaming=True) |
|
stream_data = stream_data.cast_column("audio", Audio(sampling_rate=16000)) |
|
en_sample = next(iter(stream_data))["audio"]["array"] |
|
|
|
# Arabic |
|
stream_data = load_dataset("mozilla-foundation/common_voice_13_0", "ar", split="test", streaming=True) |
|
stream_data = stream_data.cast_column("audio", Audio(sampling_rate=16000)) |
|
ar_sample = next(iter(stream_data))["audio"]["array"] |
|
``` |
|
|
|
Next, we load the model and processor |
|
|
|
```py |
|
from transformers import Wav2Vec2ForSequenceClassification, AutoFeatureExtractor |
|
import torch |
|
|
|
model_id = "facebook/mms-lid-1024" |
|
|
|
processor = AutoFeatureExtractor.from_pretrained(model_id) |
|
model = Wav2Vec2ForSequenceClassification.from_pretrained(model_id) |
|
``` |
|
|
|
Now we process the audio data, pass the processed audio data to the model to classify it into a language, just like we usually do for Wav2Vec2 audio classification models such as [ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition](https://huggingface.co/harshit345/xlsr-wav2vec-speech-emotion-recognition) |
|
|
|
```py |
|
# English |
|
inputs = processor(en_sample, sampling_rate=16_000, return_tensors="pt") |
|
|
|
with torch.no_grad(): |
|
outputs = model(**inputs).logits |
|
|
|
lang_id = torch.argmax(outputs, dim=-1)[0].item() |
|
detected_lang = model.config.id2label[lang_id] |
|
# 'eng' |
|
|
|
# Arabic |
|
inputs = processor(ar_sample, sampling_rate=16_000, return_tensors="pt") |
|
|
|
with torch.no_grad(): |
|
outputs = model(**inputs).logits |
|
|
|
lang_id = torch.argmax(outputs, dim=-1)[0].item() |
|
detected_lang = model.config.id2label[lang_id] |
|
# 'ara' |
|
``` |
|
|
|
To see all the supported languages of a checkpoint, you can print out the language ids as follows: |
|
```py |
|
processor.id2label.values() |
|
``` |
|
|
|
For more details, about the architecture please have a look at [the official docs](https://huggingface.co/docs/transformers/main/en/model_doc/mms). |
|
|
|
## Supported Languages |
|
|
|
This model supports 1024 languages. Unclick the following to toogle all supported languages of this checkpoint in [ISO 639-3 code](https://en.wikipedia.org/wiki/ISO_639-3). |
|
You can find more details about the languages and their ISO 649-3 codes in the [MMS Language Coverage Overview](https://dl.fbaipublicfiles.com/mms/misc/language_coverage_mms.html). |
|
<details> |
|
<summary>Click to toggle</summary> |
|
|
|
- ara |
|
- cmn |
|
- eng |
|
- spa |
|
- fra |
|
- mlg |
|
- swe |
|
- por |
|
- vie |
|
- ful |
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- sun |
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- asm |
|
- ben |
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- zlm |
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- kor |
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- ind |
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- hin |
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- tuk |
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- urd |
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- aze |
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- slv |
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- mon |
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- hau |
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- tel |
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- swh |
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- bod |
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- rus |
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- tur |
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- heb |
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- mar |
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- som |
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- tgl |
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- tat |
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- tha |
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- cat |
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- ron |
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- mal |
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- bel |
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- pol |
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- yor |
|
- nld |
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- bul |
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- hat |
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- afr |
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- isl |
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- amh |
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- tam |
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- hun |
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- hrv |
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- lit |
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- cym |
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- fas |
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- mkd |
|
- ell |
|
- bos |
|
- deu |
|
- sqi |
|
- jav |
|
- kmr |
|
- nob |
|
- uzb |
|
- snd |
|
- lat |
|
- nya |
|
- grn |
|
- mya |
|
- orm |
|
- lin |
|
- hye |
|
- yue |
|
- pan |
|
- jpn |
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- kaz |
|
- npi |
|
- kik |
|
- kat |
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- guj |
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- kan |
|
- tgk |
|
- ukr |
|
- ces |
|
- lav |
|
- bak |
|
- khm |
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- cak |
|
- fao |
|
- glg |
|
- ltz |
|
- xog |
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- lao |
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- mlt |
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- sin |
|
- aka |
|
- sna |
|
- che |
|
- mam |
|
- ita |
|
- quc |
|
- aiw |
|
- srp |
|
- mri |
|
- tuv |
|
- nno |
|
- pus |
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- eus |
|
- kbp |
|
- gur |
|
- ory |
|
- lug |
|
- crh |
|
- bre |
|
- luo |
|
- nhx |
|
- slk |
|
- ewe |
|
- xsm |
|
- fin |
|
- rif |
|
- dan |
|
- saq |
|
- yid |
|
- yao |
|
- mos |
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- quh |
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- hne |
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- xon |
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- new |
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- dtp |
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- quy |
|
- est |
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- ddn |
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- dyu |
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- ttq |
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- bam |
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- pse |
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- uig |
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- sck |
|
- ngl |
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- tso |
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- mup |
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- dga |
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- seh |
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- lis |
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- wal |
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- ctg |
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- mip |
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- bfz |
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- bxk |
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- ceb |
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- kru |
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- war |
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- khg |
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- bbc |
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- thl |
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- nzi |
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- vmw |
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- mzi |
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- ycl |
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- zne |
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- sid |
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- asa |
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- tpi |
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- bmq |
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- box |
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- zpu |
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- gof |
|
- nym |
|
- cla |
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- bgq |
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- bfy |
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- hlb |
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- qxl |
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- teo |
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- fon |
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- sda |
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- kfx |
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- bfa |
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- mag |
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- tzh |
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- pil |
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- maj |
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- maa |
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- kdt |
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- ksb |
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- lns |
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- btd |
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- rej |
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- pap |
|
- ayr |
|
- any |
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- mnk |
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- adx |
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- gud |
|
- krc |
|
- onb |
|
- xal |
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- ctd |
|
- nxq |
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- ava |
|
- blt |
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- lbw |
|
- hyw |
|
- udm |
|
- zar |
|
- tzo |
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- kpv |
|
- san |
|
- xnj |
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- kek |
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- chv |
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- kcg |
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- kri |
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- ati |
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- bgw |
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- mxt |
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- ybb |
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- btx |
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- dgi |
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- nhy |
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- dnj |
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- zpz |
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- yba |
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- lon |
|
- smo |
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- men |
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- ium |
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- mgd |
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- taq |
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- nga |
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- nsu |
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- zaj |
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- tly |
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- prk |
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- zpt |
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- akb |
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- mhr |
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- mxb |
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- nuj |
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- obo |
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- kir |
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- bom |
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- run |
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- zpg |
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- hwc |
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- mnw |
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- ubl |
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- kin |
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- xtm |
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- hnj |
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- mpm |
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- rkt |
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- miy |
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- luc |
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- mih |
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- kne |
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- mib |
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- flr |
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- myv |
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- xmm |
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- knk |
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- iba |
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- gux |
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- pis |
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- zmz |
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- ses |
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- dav |
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- lif |
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- qxr |
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- dig |
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- kdj |
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- wsg |
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- tir |
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- gbm |
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- mai |
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- zpc |
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- kus |
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- nyy |
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- mim |
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- nan |
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- nyn |
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- gog |
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- ngu |
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- tbz |
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- hoc |
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- nyf |
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- sus |
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- guk |
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- gwr |
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- yaz |
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- bcc |
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- sbd |
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- spp |
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- hak |
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- grt |
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- kno |
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- oss |
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- suk |
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- spy |
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- nij |
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- lsm |
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- kaa |
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- bem |
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- rmy |
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- kqn |
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- nim |
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- ztq |
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- nus |
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- bib |
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- xtd |
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- ach |
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- mil |
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- keo |
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- mpg |
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- gjn |
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- zaq |
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- kdh |
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- dug |
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- sah |
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- awa |
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- kff |
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- dip |
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- rim |
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- nhe |
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- pcm |
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- kde |
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- tem |
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- quz |
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- mfq |
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- las |
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- bba |
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- kbr |
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- taj |
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- dyo |
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- zao |
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- lom |
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- shk |
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- dik |
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- dgo |
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- zpo |
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- fij |
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- bgc |
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- xnr |
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- bud |
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- kac |
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- laj |
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- mev |
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- maw |
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- quw |
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- kao |
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- dag |
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- ktb |
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- lhu |
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- zab |
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- mgh |
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- shn |
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- otq |
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- lob |
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- pbb |
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- oci |
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- zyb |
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- bsq |
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- mhi |
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- dzo |
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- zas |
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- guc |
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- alz |
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- ctu |
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- wol |
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- guw |
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- mnb |
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- nia |
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- zaw |
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- mxv |
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- bci |
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- sba |
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- kab |
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- dwr |
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- nnb |
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- ilo |
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- mfe |
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- srx |
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- ruf |
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- srn |
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- zad |
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- xpe |
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- pce |
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- ahk |
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- bcl |
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- myk |
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- haw |
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- mad |
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- ljp |
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- bky |
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- gmv |
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- nag |
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- nav |
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- nyo |
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- kxm |
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- nod |
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- sag |
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- zpl |
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- sas |
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- myx |
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- sgw |
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- old |
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- irk |
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- acf |
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- mak |
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- kfy |
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- zai |
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- mie |
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- zpm |
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- zpi |
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- ote |
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- jam |
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- kpz |
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- lgg |
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- lia |
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- nhi |
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- mzm |
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- bdq |
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- xtn |
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- mey |
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- mjl |
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- sgj |
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- kdi |
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- kxc |
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- miz |
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- adh |
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- tap |
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- hay |
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- kss |
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- pam |
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- gor |
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- heh |
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- nhw |
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- ziw |
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- gej |
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- yua |
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- itv |
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- shi |
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- qvw |
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- mrw |
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- hil |
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- mbt |
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- pag |
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- vmy |
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- lwo |
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- cce |
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- kum |
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- klu |
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- ann |
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- mbb |
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- npl |
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- zca |
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- pww |
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- toc |
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- ace |
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- mio |
|
- izz |
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- kam |
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- zaa |
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- krj |
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- bts |
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- eza |
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- zty |
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- hns |
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- kki |
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- min |
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- led |
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- alw |
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- tll |
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- rng |
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- pko |
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- toi |
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- iqw |
|
- ncj |
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- toh |
|
- umb |
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- mog |
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- hno |
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- wob |
|
- gxx |
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- hig |
|
- nyu |
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- kby |
|
- ban |
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- syl |
|
- bxg |
|
- nse |
|
- xho |
|
- zae |
|
- mkw |
|
- nch |
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- ibg |
|
- mas |
|
- qvz |
|
- bum |
|
- bgd |
|
- mww |
|
- epo |
|
- tzm |
|
- zul |
|
- bcq |
|
- lrc |
|
- xdy |
|
- tyv |
|
- ibo |
|
- loz |
|
- mza |
|
- abk |
|
- azz |
|
- guz |
|
- arn |
|
- ksw |
|
- lus |
|
- tos |
|
- gvr |
|
- top |
|
- ckb |
|
- mer |
|
- pov |
|
- lun |
|
- rhg |
|
- knc |
|
- sfw |
|
- bev |
|
- tum |
|
- lag |
|
- nso |
|
- bho |
|
- ndc |
|
- maf |
|
- gkp |
|
- bax |
|
- awn |
|
- ijc |
|
- qug |
|
- lub |
|
- srr |
|
- mni |
|
- zza |
|
- ige |
|
- dje |
|
- mkn |
|
- bft |
|
- tiv |
|
- otn |
|
- kck |
|
- kqs |
|
- gle |
|
- lua |
|
- pdt |
|
- swk |
|
- mgw |
|
- ebu |
|
- ada |
|
- lic |
|
- skr |
|
- gaa |
|
- mfa |
|
- vmk |
|
- mcn |
|
- bto |
|
- lol |
|
- bwr |
|
- unr |
|
- dzg |
|
- hdy |
|
- kea |
|
- bhi |
|
- glk |
|
- mua |
|
- ast |
|
- nup |
|
- sat |
|
- ktu |
|
- bhb |
|
- zpq |
|
- coh |
|
- bkm |
|
- gya |
|
- sgc |
|
- dks |
|
- ncl |
|
- tui |
|
- emk |
|
- urh |
|
- ego |
|
- ogo |
|
- tsc |
|
- idu |
|
- igb |
|
- ijn |
|
- njz |
|
- ngb |
|
- tod |
|
- jra |
|
- mrt |
|
- zav |
|
- tke |
|
- its |
|
- ady |
|
- bzw |
|
- kng |
|
- kmb |
|
- lue |
|
- jmx |
|
- tsn |
|
- bin |
|
- ble |
|
- gom |
|
- ven |
|
- sef |
|
- sco |
|
- her |
|
- iso |
|
- trp |
|
- glv |
|
- haq |
|
- toq |
|
- okr |
|
- kha |
|
- wof |
|
- rmn |
|
- sot |
|
- kaj |
|
- bbj |
|
- sou |
|
- mjt |
|
- trd |
|
- gno |
|
- mwn |
|
- igl |
|
- rag |
|
- eyo |
|
- div |
|
- efi |
|
- nde |
|
- mfv |
|
- mix |
|
- rki |
|
- kjg |
|
- fan |
|
- khw |
|
- wci |
|
- bjn |
|
- pmy |
|
- bqi |
|
- ina |
|
- hni |
|
- mjx |
|
- kuj |
|
- aoz |
|
- the |
|
- tog |
|
- tet |
|
- nuz |
|
- ajg |
|
- ccp |
|
- mau |
|
- ymm |
|
- fmu |
|
- tcz |
|
- xmc |
|
- nyk |
|
- ztg |
|
- knx |
|
- snk |
|
- zac |
|
- esg |
|
- srb |
|
- thq |
|
- pht |
|
- wes |
|
- rah |
|
- pnb |
|
- ssy |
|
- zpv |
|
- kpo |
|
- phr |
|
- atd |
|
- eto |
|
- xta |
|
- mxx |
|
- mui |
|
- uki |
|
- tkt |
|
- mgp |
|
- xsq |
|
- enq |
|
- nnh |
|
- qxp |
|
- zam |
|
- bug |
|
- bxr |
|
- maq |
|
- tdt |
|
- khb |
|
- mrr |
|
- kas |
|
- zgb |
|
- kmw |
|
- lir |
|
- vah |
|
- dar |
|
- ssw |
|
- hmd |
|
- jab |
|
- iii |
|
- peg |
|
- shr |
|
- brx |
|
- rwr |
|
- bmb |
|
- kmc |
|
- mji |
|
- dib |
|
- pcc |
|
- nbe |
|
- mrd |
|
- ish |
|
- kai |
|
- yom |
|
- zyn |
|
- hea |
|
- ewo |
|
- bas |
|
- hms |
|
- twh |
|
- kfq |
|
- thr |
|
- xtl |
|
- wbr |
|
- bfb |
|
- wtm |
|
- mjc |
|
- blk |
|
- lot |
|
- dhd |
|
- swv |
|
- wbm |
|
- zzj |
|
- kge |
|
- mgm |
|
- niq |
|
- zpj |
|
- bwx |
|
- bde |
|
- mtr |
|
- gju |
|
- kjp |
|
- mbz |
|
- haz |
|
- lpo |
|
- yig |
|
- qud |
|
- shy |
|
- gjk |
|
- ztp |
|
- nbl |
|
- aii |
|
- kun |
|
- say |
|
- mde |
|
- sjp |
|
- bns |
|
- brh |
|
- ywq |
|
- msi |
|
- anr |
|
- mrg |
|
- mjg |
|
- tan |
|
- tsg |
|
- tcy |
|
- kbl |
|
- mdr |
|
- mks |
|
- noe |
|
- tyz |
|
- zpa |
|
- ahr |
|
- aar |
|
- wuu |
|
- khr |
|
- kbd |
|
- kex |
|
- bca |
|
- nku |
|
- pwr |
|
- hsn |
|
- ort |
|
- ott |
|
- swi |
|
- kua |
|
- tdd |
|
- msm |
|
- bgp |
|
- nbm |
|
- mxy |
|
- abs |
|
- zlj |
|
- ebo |
|
- lea |
|
- dub |
|
- sce |
|
- xkb |
|
- vav |
|
- bra |
|
- ssb |
|
- sss |
|
- nhp |
|
- kad |
|
- kvx |
|
- lch |
|
- tts |
|
- zyj |
|
- kxp |
|
- lmn |
|
- qvi |
|
- lez |
|
- scl |
|
- cqd |
|
- ayb |
|
- xbr |
|
- nqg |
|
- dcc |
|
- cjk |
|
- bfr |
|
- zyg |
|
- mse |
|
- gru |
|
- mdv |
|
- bew |
|
- wti |
|
- arg |
|
- dso |
|
- zdj |
|
- pll |
|
- mig |
|
- qxs |
|
- bol |
|
- drs |
|
- anp |
|
- chw |
|
- bej |
|
- vmc |
|
- otx |
|
- xty |
|
- bjj |
|
- vmz |
|
- ibb |
|
- gby |
|
- twx |
|
- tig |
|
- thz |
|
- tku |
|
- hmz |
|
- pbm |
|
- mfn |
|
- nut |
|
- cyo |
|
- mjw |
|
- cjm |
|
- tlp |
|
- naq |
|
- rnd |
|
- stj |
|
- sym |
|
- jax |
|
- btg |
|
- tdg |
|
- sng |
|
- nlv |
|
- kvr |
|
- pch |
|
- fvr |
|
- mxs |
|
- wni |
|
- mlq |
|
- kfr |
|
- mdj |
|
- osi |
|
- nhn |
|
- ukw |
|
- tji |
|
- qvj |
|
- nih |
|
- bcy |
|
- hbb |
|
- zpx |
|
- hoj |
|
- cpx |
|
- ogc |
|
- cdo |
|
- bgn |
|
- bfs |
|
- vmx |
|
- tvn |
|
- ior |
|
- mxa |
|
- btm |
|
- anc |
|
- jit |
|
- mfb |
|
- mls |
|
- ets |
|
- goa |
|
- bet |
|
- ikw |
|
- pem |
|
- trf |
|
- daq |
|
- max |
|
- rad |
|
- njo |
|
- bnx |
|
- mxl |
|
- mbi |
|
- nba |
|
- zpn |
|
- zts |
|
- mut |
|
- hnd |
|
- mta |
|
- hav |
|
- hac |
|
- ryu |
|
- abr |
|
- yer |
|
- cld |
|
- zag |
|
- ndo |
|
- sop |
|
- vmm |
|
- gcf |
|
- chr |
|
- cbk |
|
- sbk |
|
- bhp |
|
- odk |
|
- mbd |
|
- nap |
|
- gbr |
|
- mii |
|
- czh |
|
- xti |
|
- vls |
|
- gdx |
|
- sxw |
|
- zaf |
|
- wem |
|
- mqh |
|
- ank |
|
- yaf |
|
- vmp |
|
- otm |
|
- sdh |
|
- anw |
|
- src |
|
- mne |
|
- wss |
|
- meh |
|
- kzc |
|
- tma |
|
- ttj |
|
- ots |
|
- ilp |
|
- zpr |
|
- saz |
|
- ogb |
|
- akl |
|
- nhg |
|
- pbv |
|
- rcf |
|
- cgg |
|
- mku |
|
- bez |
|
- mwe |
|
- mtb |
|
- gul |
|
- ifm |
|
- mdh |
|
- scn |
|
- lki |
|
- xmf |
|
- sgd |
|
- aba |
|
- cos |
|
- luz |
|
- zpy |
|
- stv |
|
- kjt |
|
- mbf |
|
- kmz |
|
- nds |
|
- mtq |
|
- tkq |
|
- aee |
|
- knn |
|
- mbs |
|
- mnp |
|
- ema |
|
- bar |
|
- unx |
|
- plk |
|
- psi |
|
- mzn |
|
- cja |
|
- sro |
|
- mdw |
|
- ndh |
|
- vmj |
|
- zpw |
|
- kfu |
|
- bgx |
|
- gsw |
|
- fry |
|
- zpe |
|
- zpd |
|
- bta |
|
- psh |
|
- zat |
|
|
|
</details> |
|
|
|
## Model details |
|
|
|
- **Developed by:** Vineel Pratap et al. |
|
- **Model type:** Multi-Lingual Automatic Speech Recognition model |
|
- **Language(s):** 1024 languages, see [supported languages](#supported-languages) |
|
- **License:** CC-BY-NC 4.0 license |
|
- **Num parameters**: 1 billion |
|
- **Audio sampling rate**: 16,000 kHz |
|
- **Cite as:** |
|
|
|
@article{pratap2023mms, |
|
title={Scaling Speech Technology to 1,000+ Languages}, |
|
author={Vineel Pratap and Andros Tjandra and Bowen Shi and Paden Tomasello and Arun Babu and Sayani Kundu and Ali Elkahky and Zhaoheng Ni and Apoorv Vyas and Maryam Fazel-Zarandi and Alexei Baevski and Yossi Adi and Xiaohui Zhang and Wei-Ning Hsu and Alexis Conneau and Michael Auli}, |
|
journal={arXiv}, |
|
year={2023} |
|
} |
|
|
|
## Additional Links |
|
|
|
- [Blog post](https://ai.facebook.com/blog/multilingual-model-speech-recognition/) |
|
- [Transformers documentation](https://huggingface.co/docs/transformers/main/en/model_doc/mms). |
|
- [Paper](https://arxiv.org/abs/2305.13516) |
|
- [GitHub Repository](https://github.com/facebookresearch/fairseq/tree/main/examples/mms#asr) |
|
- [Other **MMS** checkpoints](https://huggingface.co/models?other=mms) |
|
- MMS base checkpoints: |
|
- [facebook/mms-1b](https://huggingface.co/facebook/mms-1b) |
|
- [facebook/mms-300m](https://huggingface.co/facebook/mms-300m) |
|
- [Official Space](https://huggingface.co/spaces/facebook/MMS) |
|
|
