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:
- 9f9d32fafcfd99313cd8ff8ad6af27cec4dc889555e3f5720617b6b2bc6ca5cc
- Size of remote file:
- 5.5 kB
- SHA256:
- 035b775ccf1daacdf6f38d19257adb9002caf5a6f9361f49c6067c83d15897e7
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