Instructions to use suresh-subramanian/beans-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suresh-subramanian/beans-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="suresh-subramanian/beans-classification") 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("suresh-subramanian/beans-classification") model = AutoModelForImageClassification.from_pretrained("suresh-subramanian/beans-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (6149f99782a65c154cdfce14b41459588d1140e7) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>62b510b
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Upload pytorch_model.bin
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Upload training_args.bin
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Upload preprocessor_config.json
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Upload config.json
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initial commit
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