Instructions to use sharkMeow/train_V2_CLIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sharkMeow/train_V2_CLIP with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("sharkMeow/train_V2_CLIP") model = AutoModel.from_pretrained("sharkMeow/train_V2_CLIP", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dac7468b55dd61bb09450cf1e875bea473da961dd877ada494dd35db556202ba
- Size of remote file:
- 1.16 GB
- SHA256:
- 6e3652c729be6663036551fb2416e16f457a2d440e20874ca7921311a5ad32c2
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