Image Classification
Transformers
Safetensors
siglip
historical-newspapers
impresso
Eval Results (legacy)
Instructions to use impresso-project/image-classification-siglip2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use impresso-project/image-classification-siglip2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="impresso-project/image-classification-siglip2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("impresso-project/image-classification-siglip2") model = AutoModelForImageClassification.from_pretrained("impresso-project/image-classification-siglip2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K