Instructions to use satwikapaul/painting_movement_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use satwikapaul/painting_movement_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="satwikapaul/painting_movement_classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("satwikapaul/painting_movement_classifier") model = AutoModelForImageClassification.from_pretrained("satwikapaul/painting_movement_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload folder using huggingface_hub (#1)
- Upload folder using huggingface_hub (82237178f0f01e94e94ced45b07bae5a4825a5f4)90fd7cc