Image Classification
Transformers
Safetensors
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Instructions to use prithivMLmods/shoe-type-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/shoe-type-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/shoe-type-detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/shoe-type-detection") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/shoe-type-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-626/optimizer.pt from prithivMLmods/shoe-type-detection: direct link, hf CLI and curl.
- Browser
- Download file 687 MB
-
https://huggingface.co/prithivMLmods/shoe-type-detection/resolve/main/checkpoint-626/optimizer.pt
- Command line
-
hf download hf://prithivMLmods/shoe-type-detection/checkpoint-626/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/prithivMLmods/shoe-type-detection/resolve/main/checkpoint-626/optimizer.pt
687 MB
- Xet hash:
- 3c013af49e7d0235ba01c84add8098a91eadf031b89b757e83b7ce35c455b367
- Size of remote file:
- 687 MB
- SHA256:
- 4605312f9b4a9673df13f2a82d0bd38b70cae67cbc24c80c70621144475ae334
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