Image Classification
Transformers
PyTorch
TensorBoard
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use YoussefSaad/dresses with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YoussefSaad/dresses with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="YoussefSaad/dresses") 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("YoussefSaad/dresses") model = AutoModelForImageClassification.from_pretrained("YoussefSaad/dresses") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7072add638e147e8b7c10b9a45f40594985163e184810ef0a756c0da1bb532b3
- Size of remote file:
- 343 MB
- SHA256:
- 3140f75138151e92231c77f97fdd2b559183bcfbd6a16d070737188db553418a
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