Image Classification
Transformers
Safetensors
vit
beans
static-augmentation
transfer-learning
Generated from Trainer
Eval Results (legacy)
Instructions to use remonemo/beans_mit_aug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use remonemo/beans_mit_aug with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="remonemo/beans_mit_aug") 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("remonemo/beans_mit_aug") model = AutoModelForImageClassification.from_pretrained("remonemo/beans_mit_aug", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd19e60af1dff954d1b762176677817ac653055fcf1ee616c55c9a2f193abea9
- Size of remote file:
- 5.65 kB
- SHA256:
- d1e8769a54737cc96fd61678c35cdadaaf9199d57243ce110d69a897733fbd4f
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