Instructions to use facebook/metaclip-l14-fullcc2.5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/metaclip-l14-fullcc2.5b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="facebook/metaclip-l14-fullcc2.5b") 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("facebook/metaclip-l14-fullcc2.5b") model = AutoModelForZeroShotImageClassification.from_pretrained("facebook/metaclip-l14-fullcc2.5b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9770f51c5002b6c07de64ecc420a0e6e99978a07c6da03ec07407fad58c38cb4
- Size of remote file:
- 1.71 GB
- SHA256:
- 50545c1363e9c218bf4ba445af59cc605403be903c912a56089e91459c0f6fe1
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