Instructions to use hsali/testmodel1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsali/testmodel1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hsali/testmodel1") model = AutoModel.from_pretrained("hsali/testmodel1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hsali/testmodel1: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/hsali/testmodel1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hsali/testmodel1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hsali/testmodel1/resolve/main/pytorch_model.bin
378 MB
- Xet hash:
- 212d77989412a80f27008fe4172dc2a0118a9d0a0d18fbef89c141c298bb9310
- Size of remote file:
- 378 MB
- SHA256:
- 5417d825d81101ed3eaa141794fd455989e7edaedf0fd9508f3a44be43802df5
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