Instructions to use facebook/wav2vec2-base-100h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-base-100h with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-base-100h")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("facebook/wav2vec2-base-100h") model = AutoModelForCTC.from_pretrained("facebook/wav2vec2-base-100h", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from facebook/wav2vec2-base-100h: direct link, hf CLI and curl.
- Browser
- Download file 736 Bytes
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https://huggingface.co/facebook/wav2vec2-base-100h/resolve/main/.gitattributes
- Command line
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hf download hf://facebook/wav2vec2-base-100h/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/facebook/wav2vec2-base-100h/resolve/main/.gitattributes
736 Bytes
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