Instructions to use ljsabc/Fujisaki-int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ljsabc/Fujisaki-int4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ljsabc/Fujisaki-int4", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ljsabc/Fujisaki-int4", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
added pytorch model
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:96c2983cb0905b9810732f888c2b2a996ec5c00147ca6e5d4bba5fd57b5d5239
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size 5295111665
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