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:
- 490a6aef93ff192cdaa2f56028dcddca080011edd2db35661dd2935febe55879
- Size of remote file:
- 2.58 GB
- SHA256:
- 94df2143f02d4dfbe51ccf0a4f4a65175247d8f65ffe969ddf940eeb003d4ee1
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