Instructions to use navervision/KELIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use navervision/KELIP with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("navervision/KELIP", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- .gitattributes +1 -0
- model.safetensors +3 -0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:894ac49d6d9f8ff35c335afdb9e4ce2e0c952db9b8e22d97008700f11f773765
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size 454664236
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