Instructions to use vanderbilt-dsi/whisper-hypernasality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vanderbilt-dsi/whisper-hypernasality with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vanderbilt-dsi/whisper-hypernasality", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from vanderbilt-dsi/whisper-hypernasality: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/vanderbilt-dsi/whisper-hypernasality/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://vanderbilt-dsi/whisper-hypernasality/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/vanderbilt-dsi/whisper-hypernasality/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- 71a3a03420a1b2d74e0bef9382bfa98f983326ba293636eef472b486b7bf3914
- Size of remote file:
- 343 MB
- SHA256:
- 384eebb9608f522860b0846aceab97a4c395b7ca578e3f0199f21a13f8c18e73
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