Instructions to use LanguageBind/LanguageBind_Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LanguageBind/LanguageBind_Image with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="LanguageBind/LanguageBind_Image") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoModelForZeroShotImageClassification model = AutoModelForZeroShotImageClassification.from_pretrained("LanguageBind/LanguageBind_Image", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from LanguageBind/LanguageBind_Image: direct link, hf CLI and curl.
- Browser
- Download file 21 Bytes
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https://huggingface.co/LanguageBind/LanguageBind_Image/resolve/refs%2Fpr%2F1/README.md
- Command line
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hf download hf://LanguageBind/LanguageBind_Image@refs/pr/1/README.md
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curl -L -o README.md https://huggingface.co/LanguageBind/LanguageBind_Image/resolve/refs%2Fpr%2F1/README.md
21 Bytes
metadata
license: mit