Instructions to use Oronto/Shared_Code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Oronto/Shared_Code with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import neural_net model = neural_net.from_pretrained("Oronto/Shared_Code", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Oronto/Shared_Code: direct link, hf CLI and curl.
- Browser
- Download file 864 MB
-
https://huggingface.co/Oronto/Shared_Code/resolve/main/model.safetensors
- Command line
-
hf download hf://Oronto/Shared_Code/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Oronto/Shared_Code/resolve/main/model.safetensors
864 MB
- Xet hash:
- 4c683d42e688738a22a66253899475e276f271a9f27bc53909416cf38f78b28f
- Size of remote file:
- 864 MB
- SHA256:
- 0bba04a8e14a2d995c390d6be672d0b1905e70f6cc910d9af335159b6567070f
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