Instructions to use ssripbba/bbang with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ssripbba/bbang with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ssripbba/bbang", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download G_bbang.pth from ssripbba/bbang: direct link, hf CLI and curl.
- Browser
- Download file 549 MB
-
https://huggingface.co/ssripbba/bbang/resolve/main/G_bbang.pth
- Command line
-
hf download hf://ssripbba/bbang/G_bbang.pth
-
curl -L -o G_bbang.pth https://huggingface.co/ssripbba/bbang/resolve/main/G_bbang.pth
549 MB
- Xet hash:
- 5650764f3f2fe8581dc968aa37a1a7ed4a926c99a29c9de19dc0889511a0371a
- Size of remote file:
- 549 MB
- SHA256:
- cae09dd55873ea3a3f980a187de84180d3e3d8d599aacd31b5c039a3d0ffe629
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