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
Works with GGUF?
I was just curious if this will work with the GGUF DualCLIPLoader?
If you mean "Will this be compatible with quantization?" (as I typically encounter quantized models being in GGUF format): If it worked for the original OpenAI / CLIP, then it should work for my model just the same, yes.
If you mean "Will this be compatible with quantization?" (as I typically encounter quantized models being in GGUF format): If it worked for the original OpenAI / CLIP, then it should work for my model just the same, yes.
Hi bro, when i use the Dualloader Normal version
then i got a blackscreen, and if I try use the dualloader GGUF version i got this
How could I use the your CLIP for my quantization versions?
thank u very much bro !
Haha, no problem - glad you were able to fix the issue! :)


