Instructions to use LanguageBind/LanguageBind_Video_merge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LanguageBind/LanguageBind_Video_merge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="LanguageBind/LanguageBind_Video_merge") 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_Video_merge", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7234e60e617c8e9a92a7ba4a40ca060da7432a5ce4e743137dc221f9e345db37
- Size of remote file:
- 2.11 GB
- SHA256:
- 4d2e6c1dbdb2fe66f39fda2cd7b969fec3d6a227afae315ab0283b09bb54d707
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