Instructions to use drhead/long_clip_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use drhead/long_clip_diffusers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="drhead/long_clip_diffusers")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("drhead/long_clip_diffusers") model = AutoModel.from_pretrained("drhead/long_clip_diffusers") - 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 sha256:36be824fc88ba6c7c3248f4cb7e847dcbd46df802a3a0aa77d02f9c705dc9dca
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size 492792560
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