Image Classification
Transformers
Safetensors
timm
timm_wrapper
vision
Generated from Trainer
Eval Results (legacy)
Instructions to use omaralshareef/beans-image-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omaralshareef/beans-image-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="omaralshareef/beans-image-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("omaralshareef/beans-image-classifier") model = AutoModelForImageClassification.from_pretrained("omaralshareef/beans-image-classifier", device_map="auto") - timm
How to use omaralshareef/beans-image-classifier with timm:
import timm model = timm.create_model("hf_hub:omaralshareef/beans-image-classifier", pretrained=True) - Notebooks
- Google Colab
- Kaggle
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