Instructions to use Mayfull/READ-CLIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mayfull/READ-CLIP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="Mayfull/READ-CLIP") 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("Mayfull/READ-CLIP") model = AutoModelForZeroShotImageClassification.from_pretrained("Mayfull/READ-CLIP") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a2d5a7ea235b33aa6ebf3e361805dc573d795393cee50cf0be4c4493f9a2e09
- Size of remote file:
- 605 MB
- SHA256:
- 1000ee1bfa5e5d69277d5493e80624702cd020a9371a6f51d1a846bdb46f8ee6
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