Instructions to use kraftman1/image_ecommerce_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kraftman1/image_ecommerce_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="kraftman1/image_ecommerce_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("kraftman1/image_ecommerce_classifier") model = AutoModelForImageClassification.from_pretrained("kraftman1/image_ecommerce_classifier") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
pytorch_model.bin
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runs/Apr12_03-22-51_00d652075150/events.out.tfevents.1681269858.00d652075150.533.0
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