Instructions to use osanseviero/taco_or_what with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osanseviero/taco_or_what with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="osanseviero/taco_or_what") 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("osanseviero/taco_or_what") model = AutoModelForImageClassification.from_pretrained("osanseviero/taco_or_what") - Notebooks
- Google Colab
- Kaggle
taco_or_what
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
burrito
fajitas
kebab
quesadilla
taco
- Downloads last month
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Evaluation results
- Accuracyself-reported0.515




