Instructions to use thak123/indian-snacks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thak123/indian-snacks with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="thak123/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("thak123/indian-snacks") model = AutoModelForImageClassification.from_pretrained("thak123/indian-snacks", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d496c13359e298068b0c61f4ea27951101aa596c982f2e2a24d805737a0f73ce
- Size of remote file:
- 343 MB
- SHA256:
- 0aa9377abc20de7182cd78616656552b2c9d0e351a2a1848cb34dd22f6a643b2
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