Instructions to use silveroxides/diffusers-long-clip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use silveroxides/diffusers-long-clip with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="silveroxides/diffusers-long-clip")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("silveroxides/diffusers-long-clip") model = AutoModel.from_pretrained("silveroxides/diffusers-long-clip") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0381e34b6c5aab7405bf7e963be113664a6e424aaa22214aaffcc27d186ec03
- Size of remote file:
- 493 MB
- SHA256:
- 36be824fc88ba6c7c3248f4cb7e847dcbd46df802a3a0aa77d02f9c705dc9dca
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