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:
- 6698c6c99b5d9c0d72b43f396951fe7bd17eeb2f45afd6db267de1f06b4da952
- Size of remote file:
- 2.58 GB
- SHA256:
- 9e53630f0b802070c3ce26bbd1b76ead6376c84ee7c8f8d15451bc63acea9f4d
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