Instructions to use LanguageBind/LanguageBind_Video with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LanguageBind/LanguageBind_Video with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="LanguageBind/LanguageBind_Video") 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ab8c712f84e2edfa1c1c0c3ddeaa1b4050c1189117dc4b7eadc69c5da4ee1c5
- Size of remote file:
- 3.03 GB
- SHA256:
- d6da0e7eb962f7b14294d4070f50c3cea8ea0d62f059f27aac8bfeae21ab84ef
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