Instructions to use LinaAlhuri/Arabic-clip-vit-base-patch32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LinaAlhuri/Arabic-clip-vit-base-patch32 with Transformers:
# Load model directly from transformers import HybridCLIP model = HybridCLIP.from_pretrained("LinaAlhuri/Arabic-clip-vit-base-patch32", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ad8b517a59088b2df8c7294c4931deb7f490b656bdaff639ef4f14534bab905
- Size of remote file:
- 795 MB
- SHA256:
- ecba543e21ad4fe79d01525a9c36c4a4c76f0ee3612c419d7dce52ad3da37fd4
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