Instructions to use Nonem100/Test-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nonem100/Test-Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Nonem100/Test-Model") 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("Nonem100/Test-Model") model = AutoModelForImageClassification.from_pretrained("Nonem100/Test-Model") - Notebooks
- Google Colab
- Kaggle
Test-Model
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
cotton candy
hamburger
hot dog
nachos
popcorn
- Downloads last month
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Evaluation results
- Accuracyself-reported0.902




