Instructions to use aalonso-developer/vit-base-clothing-leafs-example-full-simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aalonso-developer/vit-base-clothing-leafs-example-full-simple with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="aalonso-developer/vit-base-clothing-leafs-example-full-simple") 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("aalonso-developer/vit-base-clothing-leafs-example-full-simple") model = AutoModelForImageClassification.from_pretrained("aalonso-developer/vit-base-clothing-leafs-example-full-simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 8123ccd
Model save
Browse files
runs/Jun04_16-32-48_adrian-development/events.out.tfevents.1685889172.adrian-development.13219.0
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