Instructions to use suhnylla/planes_airlines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suhnylla/planes_airlines with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="suhnylla/planes_airlines") 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("suhnylla/planes_airlines") model = AutoModelForImageClassification.from_pretrained("suhnylla/planes_airlines") - Notebooks
- Google Colab
- Kaggle
planes_airlines
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
planes cathay pacific
planes delta airlines
planes malaysia airlines
planes singapore airlines
planes virgin airlines
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Evaluation results
- Accuracyself-reported0.323




