How to use from the
Use from the
Transformers library
# 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")
Quick Links

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)

Labels:

  • cat
  • dog
  • bird
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