Instructions to use kejian/blurry-conditional with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/blurry-conditional with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/blurry-conditional") model = AutoModel.from_pretrained("kejian/blurry-conditional") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:aa44c96498e9fe2bf7575411fc57d4221ad1ac2198cf6b77100a70f4baec211f
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size 456639696
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