Image Classification
Transformers
PyTorch
TensorBoard
convnext
Generated from Trainer
Eval Results (legacy)
Instructions to use mrm8488/convnext-tiny-finetuned-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/convnext-tiny-finetuned-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mrm8488/convnext-tiny-finetuned-beans") 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("mrm8488/convnext-tiny-finetuned-beans") model = AutoModelForImageClassification.from_pretrained("mrm8488/convnext-tiny-finetuned-beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- beans
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metrics:
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- accuracy
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- image: https://huggingface.co/proxy-datasets-preview/assets/beans/--/default/test/96/image/image.jpg
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model-index:
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- name: convnext-tiny-finetuned-beans
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results:
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- Loss: 0.1255
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- Accuracy: 0.9609
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## Model description
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More information needed
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- beans
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metrics:
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- accuracy
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model-index:
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- name: convnext-tiny-finetuned-beans
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results:
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- Loss: 0.1255
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- Accuracy: 0.9609
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## Model description
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More information needed
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