Automatic Speech Recognition
Transformers
PyTorch
Safetensors
French
wav2vec2
audio
speech
phonemize
phoneme
Eval Results (legacy)
Instructions to use Cnam-LMSSC/wav2vec2-french-phonemizer-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cnam-LMSSC/wav2vec2-french-phonemizer-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Cnam-LMSSC/wav2vec2-french-phonemizer-v2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Cnam-LMSSC/wav2vec2-french-phonemizer-v2") model = AutoModelForCTC.from_pretrained("Cnam-LMSSC/wav2vec2-french-phonemizer-v2") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
58e97af | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:430bb9d173c147665cd6dd92c494c086426786f29964570eb200fba300bc90ca
size 377632660
|