Instructions to use huji-iml-image-hackathon-2026/validate_API with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huji-iml-image-hackathon-2026/validate_API with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="huji-iml-image-hackathon-2026/validate_API") 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("huji-iml-image-hackathon-2026/validate_API") model = AutoModelForImageClassification.from_pretrained("huji-iml-image-hackathon-2026/validate_API") - Notebooks
- Google Colab
- Kaggle
Dummy Image Classification Submission
This is a tiny random-weight dummy model for testing a Hugging Face image-classification submission workflow.
It is not trained and should not be used for real scoring.
Expected loading pattern:
from transformers import AutoImageProcessor, AutoModelForImageClassification
repo_id = "huji-iml-hackathon-2026/test-submission"
processor = AutoImageProcessor.from_pretrained(repo_id)
model = AutoModelForImageClassification.from_pretrained(repo_id, trust_remote_code=False)
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- dog
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