Instructions to use Narsil/pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Narsil/pretrained with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Narsil/pretrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Narsil/pretrained: direct link, hf CLI and curl.
- Browser
- Download file 353 MB
-
https://huggingface.co/Narsil/pretrained/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Narsil/pretrained/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Narsil/pretrained/resolve/main/pytorch_model.bin
353 MB
- Xet hash:
- 2f070e8ca2b37c02881e52fcca4ca1185bdbd4814070bc5cccea8afce545f55c
- Size of remote file:
- 353 MB
- SHA256:
- 07ead9870a80e0f40ad3091fe061ba58012a7c359446ab8f3bdbfdd1063b43f7
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