Instructions to use LinaAlhuri/clip-vit-large-patch32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LinaAlhuri/clip-vit-large-patch32 with Transformers:
# Load model directly from transformers import HybridCLIP model = HybridCLIP.from_pretrained("LinaAlhuri/clip-vit-large-patch32", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76c654b36f76fb207d2da41fe2aaf01bd6ab46dd81de81d0f4f024957d370781
- Size of remote file:
- 2.58 GB
- SHA256:
- 02789b9681e20fa2114b54850fc47bb6c601c1111077432d961d76aceba5ec97
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