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"], )# pip install -U transformers accelerate # 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
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Download README.md from ashm/test-docs: direct link, hf CLI and curl.
- Browser
- Download file 21 Bytes
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https://huggingface.co/ashm/test-docs/resolve/main/README.md
- Command line
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hf download hf://ashm/test-docs/README.md
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curl -L -o README.md https://huggingface.co/ashm/test-docs/resolve/main/README.md
21 Bytes
metadata
license: mit