Instructions to use SamaGalagoda/threadcraft-garment-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamaGalagoda/threadcraft-garment-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SamaGalagoda/threadcraft-garment-classifier") 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("SamaGalagoda/threadcraft-garment-classifier") model = AutoModelForImageClassification.from_pretrained("SamaGalagoda/threadcraft-garment-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6727b9b02c598994eceaed9e14a210c7605cd0c8e85271eb8913986e03c2a374
- Size of remote file:
- 5.2 kB
- SHA256:
- 3abb19ecc3ce851542725589c396e304c1a136ff4da82583742957b77d78ebb2
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