Instructions to use LeBenchmark/wav2vec2-FR-2.6K-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LeBenchmark/wav2vec2-FR-2.6K-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LeBenchmark/wav2vec2-FR-2.6K-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("LeBenchmark/wav2vec2-FR-2.6K-base") model = AutoModel.from_pretrained("LeBenchmark/wav2vec2-FR-2.6K-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (79ce7f2e8c88f45f57dca765009d7f5a11341688) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>d008b1b
-
Update info
05d50de
-
Update info
1812fdb
-
Update README.md
7353dcd
-
Update README.md
Titouan Parcolletf3674eb
-
Update README.md
Titouan Parcollet3b0ac33 -
model card and configs
3344e6a -
upload
a91f89b -
initial commit
b29c0a9