Image Classification
Transformers
PyTorch
TensorBoard
convnext
Generated from Trainer
Eval Results (legacy)
Instructions to use jayanthspratap/convnext-tiny-224-drfx-surgery-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jayanthspratap/convnext-tiny-224-drfx-surgery-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jayanthspratap/convnext-tiny-224-drfx-surgery-classifier") 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("jayanthspratap/convnext-tiny-224-drfx-surgery-classifier") model = AutoModelForImageClassification.from_pretrained("jayanthspratap/convnext-tiny-224-drfx-surgery-classifier") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): c394681
update model card README.md
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README.md
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This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.875
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## Model description
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This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6160
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- Accuracy: 0.875
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## Model description
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