Instructions to use zer0int/CLIP-GmP-ViT-L-14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zer0int/CLIP-GmP-ViT-L-14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="zer0int/CLIP-GmP-ViT-L-14") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("zer0int/CLIP-GmP-ViT-L-14") model = AutoModelForZeroShotImageClassification.from_pretrained("zer0int/CLIP-GmP-ViT-L-14") - Notebooks
- Google Colab
- Kaggle
Just reinstalled comfy and i don't remember what CLIP i need...
#15
by ZeroCool22 - opened
Just for use with FLUX, which one i need?
SETUP:
5900x
64 RAM
4070 TI SUPER 16 VRAM
tHX IN ADAVANCE!
Well, it depends what your goal is.
The most famous [downloads] model seems to be:
And if you're especially after coherent text in images:
ViT-L-14-TEXT-detail-improved-hiT-GmP-TE
Enjoy! :)