Instructions to use ashm/test-docs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashm/test-docs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="ashm/test-docs") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("ashm/test-docs") model = AutoModelForZeroShotImageClassification.from_pretrained("ashm/test-docs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e80166d58058bedccdf273fc79d12b6d71d27145ed686df0f3c47ecd7a6b086
- Size of remote file:
- 784 MB
- SHA256:
- 556a51a50bd93c3860ddb78583970da362ce966b4bb4e592eb48accd499a5f76
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