Instructions to use nateraw/custom-torch-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nateraw/custom-torch-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nateraw/custom-torch-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nateraw/custom-torch-model: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/nateraw/custom-torch-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nateraw/custom-torch-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nateraw/custom-torch-model/resolve/main/pytorch_model.bin
1.06 kB
- Xet hash:
- 56441b8858c9ca92a4ceeb9c8648b87047052806d9da5d8c77a78399bd18a0a0
- Size of remote file:
- 1.06 kB
- SHA256:
- 9db4bc1b10f49000e14afd1a3e389c4d60e073583762283091b4e4d82166f78b
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