Instructions to use LeBenchmark/wav2vec2-FR-3K-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LeBenchmark/wav2vec2-FR-3K-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LeBenchmark/wav2vec2-FR-3K-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("LeBenchmark/wav2vec2-FR-3K-base") model = AutoModel.from_pretrained("LeBenchmark/wav2vec2-FR-3K-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (23d8efe6bfed9a54afd714eef2e6c2ed2e113460) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>264b4fc
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Update info
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Update README.md
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Update README.md
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allow flax
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tokenize config file
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preprocessor config file
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model
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initial commit
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