Instructions to use Avelardo/my_test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Avelardo/my_test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Avelardo/my_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("Avelardo/my_test_model") model = AutoModelForImageClassification.from_pretrained("Avelardo/my_test_model") - Notebooks
- Google Colab
- Kaggle
my_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
barbeque
burger
fried chicken
soup
toast
- Downloads last month
- 4
Evaluation results
- Accuracyself-reported0.928




