Automatic Speech Recognition
Transformers
PyTorch
Georgian
wav2vec2
mozilla-foundation/common_voice_8_0
Generated from Trainer
robust-speech-event
model_for_talk
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use sammy786/wav2vec2-xlsr-georgian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sammy786/wav2vec2-xlsr-georgian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sammy786/wav2vec2-xlsr-georgian")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("sammy786/wav2vec2-xlsr-georgian") model = AutoModelForCTC.from_pretrained("sammy786/wav2vec2-xlsr-georgian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from sammy786/wav2vec2-xlsr-georgian: direct link, hf CLI and curl.
- Browser
- Download file 388 Bytes
-
https://huggingface.co/sammy786/wav2vec2-xlsr-georgian/resolve/main/vocab.json
- Command line
-
hf download hf://sammy786/wav2vec2-xlsr-georgian/vocab.json
-
curl -L -o vocab.json https://huggingface.co/sammy786/wav2vec2-xlsr-georgian/resolve/main/vocab.json
388 Bytes
| {"ღ": 0, "ო": 1, "ი": 2, "დ": 3, "ყ": 4, "ბ": 5, "ჯ": 6, "ნ": 7, "თ": 8, "პ": 9, "ვ": 10, "შ": 11, "ჩ": 12, "გ": 13, "ც": 14, "ძ": 15, "ჟ": 16, "ზ": 17, "ჭ": 18, "ა": 19, "ხ": 20, "რ": 21, "ჰ": 22, "ტ": 23, "წ": 24, "ლ": 25, "ს": 26, "ფ": 27, "კ": 28, "ქ": 29, "უ": 30, "მ": 32, "ე": 33, "|": 31, "[UNK]": 34, "[PAD]": 35} |