Instructions to use morganchen1007/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use morganchen1007/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="morganchen1007/test") 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("morganchen1007/test") model = AutoModelForImageClassification.from_pretrained("morganchen1007/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload training_args.bin
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Upload trainer_state.json
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Upload scheduler.pt
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Upload rng_state.pth
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Upload pytorch_model.bin
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Upload preprocessor_config.json
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Upload optimizer.pt
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Upload config.json
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initial commit
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