Instructions to use lengyue233/content-vec-best with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lengyue233/content-vec-best with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, HubertModelWithFinalProj processor = AutoProcessor.from_pretrained("lengyue233/content-vec-best") model = HubertModelWithFinalProj.from_pretrained("lengyue233/content-vec-best", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from lengyue233/content-vec-best: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/lengyue233/content-vec-best/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://lengyue233/content-vec-best/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lengyue233/content-vec-best/resolve/main/pytorch_model.bin
378 MB
- Xet hash:
- 0adff173519540ed8229db6f8a9f30bf2b7bbd4f3f77dfc5cfd28598d70091ed
- Size of remote file:
- 378 MB
- SHA256:
- d8dd400e054ddf4e6be75dab5a2549db748cc99e756a097c496c099f65a4854e
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