Instructions to use BAAI/AltCLIP-m18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/AltCLIP-m18 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="BAAI/AltCLIP-m18") 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("BAAI/AltCLIP-m18") model = AutoModelForZeroShotImageClassification.from_pretrained("BAAI/AltCLIP-m18") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26d2251a0cc8624d53826ce61b262d382bc7c92ea49ae7dd998f44ed8fcf6656
- Size of remote file:
- 17.1 MB
- SHA256:
- de3788bb2f349135f2ad2e2b10dff3cee7f23fab906a5fbdadf20bc963b05b4c
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