Image Classification
Transformers
Safetensors
English
siglip
SigLIP2
Ballet Flat
Boat
Sneaker
Clog
Brogue
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-939/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-939/optimizer.pt
- Command line
-
hf download hf://prithivMLmods/shoe-type-detection/checkpoint-939/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/prithivMLmods/shoe-type-detection/resolve/main/checkpoint-939/optimizer.pt
687 MB
- Xet hash:
- 39b3a62e57240d88e188442ae6b98f938adaf4034d2ed6115c9a86ef760af551
- Size of remote file:
- 687 MB
- SHA256:
- 839cf6cf60eddf310a607608c685e9479b6a3d2ec5b3fc90ff054957fd8ba815
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.