Automatic Speech Recognition
Transformers
PyTorch
JAX
French
wav2vec2
audio
hf-asr-leaderboard
mozilla-foundation/common_voice_6_0
robust-speech-event
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use bonvent/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bonvent/test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bonvent/test2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("bonvent/test2") model = AutoModelForCTC.from_pretrained("bonvent/test2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"labels": ["", "<s>", "</s>", "⁇", " ", "'", "-", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z", "à", "á", "â", "ä", "ç", "è", "é", "ê", "ë", "í", "î", "ï", "ñ", "ó", "ô", "ö", "ù", "ú", "û", "ü", "ć", "č", "ō", "œ", "š", "ș"], "is_bpe": false} |