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:
- e7176d45a276c64aab85ae0e0b6b4dcdedd543f05d2ed459d346fbaf9ce3a3d5
- Size of remote file:
- 1.72 GB
- SHA256:
- f044c6ac7cf47066deb16828ab18e5a903ae5dfd28ae1a535bda0d50b5f1daf8
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