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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6aa6783486b813e2b51cd8c266f8f415bea31c89e918abce01f629622f3f1155
- Size of remote file:
- 111 MB
- SHA256:
- fd044a002806ebd07cf3776ae89b998fbcd529506ebc281f35d2212a4507cd99
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