Instructions to use vasudevgupta/finetuned-wav2vec2-960h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vasudevgupta/finetuned-wav2vec2-960h with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import TFAutoModel model = TFAutoModel.from_pretrained("vasudevgupta/finetuned-wav2vec2-960h", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from vasudevgupta/finetuned-wav2vec2-960h: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/vasudevgupta/finetuned-wav2vec2-960h/resolve/main/tf_model.h5
- Command line
-
hf download hf://vasudevgupta/finetuned-wav2vec2-960h/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/vasudevgupta/finetuned-wav2vec2-960h/resolve/main/tf_model.h5
378 MB
- Xet hash:
- 7ffc14d053c486a0b22d38643006677840a64265648593acc44d38be5dd74d7d
- Size of remote file:
- 378 MB
- SHA256:
- b06d46702619560406774ed4f2f9f10c4a681a972b776ab7e35b537747232dd6
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