Instructions to use Shashashasha/simba with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shashashasha/simba with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Shashashasha/simba", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download D_2399.pth from Shashashasha/simba: direct link, hf CLI and curl.
- Browser
- Download file 561 MB
-
https://huggingface.co/Shashashasha/simba/resolve/main/D_2399.pth
- Command line
-
hf download hf://Shashashasha/simba/D_2399.pth
-
curl -L -o D_2399.pth https://huggingface.co/Shashashasha/simba/resolve/main/D_2399.pth
561 MB
- Xet hash:
- 21c70b555b82bca9b627894d93e49100cb3b24a3eff2fa99c2cf6fdae15dae93
- Size of remote file:
- 561 MB
- SHA256:
- f9e94d3cbad255d8ed834443f2e336571bf985d92585dc93da50d1bc508c6c5a
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