Automatic Speech Recognition
Transformers
PyTorch
Yakut
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
robust-speech-event
model_for_talk
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use infinitejoy/wav2vec2-large-xls-r-300m-sakha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use infinitejoy/wav2vec2-large-xls-r-300m-sakha with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="infinitejoy/wav2vec2-large-xls-r-300m-sakha")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("infinitejoy/wav2vec2-large-xls-r-300m-sakha") model = AutoModelForCTC.from_pretrained("infinitejoy/wav2vec2-large-xls-r-300m-sakha", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download mozilla-foundation_common_voice_7_0_sah_test_eval_results.txt from infinitejoy/wav2vec2-large-xls-r-300m-sakha: direct link, hf CLI and curl.
- Browser
- Download file 46 Bytes
-
https://huggingface.co/infinitejoy/wav2vec2-large-xls-r-300m-sakha/resolve/b5cd902cbad306262c9643d9d0f6209202df9cd0/mozilla-foundation_common_voice_7_0_sah_test_eval_results.txt
- Command line
-
hf download hf://infinitejoy/wav2vec2-large-xls-r-300m-sakha@b5cd902cbad306262c9643d9d0f6209202df9cd0/mozilla-foundation_common_voice_7_0_sah_test_eval_results.txt
-
curl -L -o mozilla-foundation_common_voice_7_0_sah_test_eval_results.txt https://huggingface.co/infinitejoy/wav2vec2-large-xls-r-300m-sakha/resolve/b5cd902cbad306262c9643d9d0f6209202df9cd0/mozilla-foundation_common_voice_7_0_sah_test_eval_results.txt
46 Bytes
| WER: 0.4419661883790311 | |
| CER: 0.102713365695167 |