Instructions to use andyz245/cache with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andyz245/cache with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("andyz245/cache", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from andyz245/cache: direct link, hf CLI and curl.
- Browser
- Download file 17.5 kB
-
https://huggingface.co/andyz245/cache/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://andyz245/cache/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/andyz245/cache/resolve/main/pytorch_model.bin
17.5 kB
- Xet hash:
- 3feb4a25d3e17d4d621efca8957a2a301fa838688c1702c37925a587b8f7ba16
- Size of remote file:
- 17.5 kB
- SHA256:
- 3a74565bf6a4778a66af07782df7eda1254b0eac908b7a5d4fa5a676cdfb4a84
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