Instructions to use LeBenchmark/wav2vec2-FR-1K-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LeBenchmark/wav2vec2-FR-1K-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LeBenchmark/wav2vec2-FR-1K-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("LeBenchmark/wav2vec2-FR-1K-base") model = AutoModel.from_pretrained("LeBenchmark/wav2vec2-FR-1K-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 (502f7cfd92033cebe56f89f12ee3894f78d83ec6) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>eb2ea9f
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