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")# pip install -U transformers accelerate # 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
Download training_args.bin from mrm8488/convnext-tiny-finetuned-beans: direct link, hf CLI and curl.
- Browser
- Download file 3.12 kB
-
https://huggingface.co/mrm8488/convnext-tiny-finetuned-beans/resolve/main/training_args.bin
- Command line
-
hf download hf://mrm8488/convnext-tiny-finetuned-beans/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mrm8488/convnext-tiny-finetuned-beans/resolve/main/training_args.bin
3.12 kB
- Xet hash:
- e99e8f313dd28587f4ac51908199a1db4ad00eb7fda207a6ec5d00045e686634
- Size of remote file:
- 3.12 kB
- SHA256:
- 48067872857057041a0bbb7d56c040de2e2303dc1b2ba40ef7af701bb6ff73ed
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