# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("roydcarlson/grain")
model = AutoModelForImageClassification.from_pretrained("roydcarlson/grain")Quick Links
grain
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
Example Images
barley
buckwheat
millet
teff
wheat
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Evaluation results
- Accuracyself-reported0.661
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="roydcarlson/grain") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")