Instructions to use seifarf/tutorial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seifarf/tutorial with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("seifarf/tutorial", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from seifarf/tutorial: direct link, hf CLI and curl.
- Browser
- Download file 63 MB
-
https://huggingface.co/seifarf/tutorial/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://seifarf/tutorial/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/seifarf/tutorial/resolve/main/adapter_model.safetensors
63 MB
- Xet hash:
- 245ede2251a86c297b5b58a7b7b18a0d51a5c22669709d966f931f1c7fc1a7bd
- Size of remote file:
- 63 MB
- SHA256:
- 5119e54c4f879fb2d09a8637669dc052a331c9f6941279d8de3678f60ec7a5ee
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