Instructions to use LanguageBind/LanguageBind_Audio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LanguageBind/LanguageBind_Audio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="LanguageBind/LanguageBind_Audio") 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_Audio", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4c96ab6f0c7d0b1a65ffa7f88f87a20aa288e23734032ebc3c175ec8c62ade2
- Size of remote file:
- 1.73 GB
- SHA256:
- 3ac9eaedddafed4708bc734d7969c76ae132d29966392e26c6a29b4e740bd4e7
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