Instructions to use hgarg/indian-snacks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hgarg/indian-snacks with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="hgarg/indian-snacks") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("hgarg/indian-snacks") model = AutoModelForImageClassification.from_pretrained("hgarg/indian-snacks") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7cb6d3d712e5bb11cba4bb3496bf8202b191529ac2973e6325e1ad9bd541fc6
- Size of remote file:
- 343 MB
- SHA256:
- 2fbbd8a346b6c7f8a64a6fbe485439c215e4cde05e049e8e6875e89b48bc477e
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