Instructions to use vasudevgupta/tf-wav2vec2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vasudevgupta/tf-wav2vec2-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import TFAutoModel model = TFAutoModel.from_pretrained("vasudevgupta/tf-wav2vec2-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download wav2vec2-base.tar.gz from vasudevgupta/tf-wav2vec2-base: direct link, hf CLI and curl.
- Browser
- Download file 225 MB
-
https://huggingface.co/vasudevgupta/tf-wav2vec2-base/resolve/main/wav2vec2-base.tar.gz
- Command line
-
hf download hf://vasudevgupta/tf-wav2vec2-base/wav2vec2-base.tar.gz
-
curl -L -o wav2vec2-base.tar.gz https://huggingface.co/vasudevgupta/tf-wav2vec2-base/resolve/main/wav2vec2-base.tar.gz
225 MB
- Xet hash:
- b10d328385681af0f19b5f2086f82f9694cff2d60d982a3445d3a84c5f49d1aa
- Size of remote file:
- 225 MB
- SHA256:
- 6dc0b96ec02586bcf863f5368b4c2a9ef05d924625c7e16708eec037577bb072
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