Instructions to use b25mayank3/shirt_identifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use b25mayank3/shirt_identifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="b25mayank3/shirt_identifier") 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("b25mayank3/shirt_identifier") model = AutoModelForImageClassification.from_pretrained("b25mayank3/shirt_identifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d56a7d5013d5936e30cc43d373cc847e950cf330c2bc187326e72a3d0160eb7
- Size of remote file:
- 343 MB
- SHA256:
- 9839e1e25fe748b51de630d247019d81c18050ec12099497ffeba8e960e159d7
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