Instructions to use distill-lab/train_dit02_initials_3cat_cls_3.5k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use distill-lab/train_dit02_initials_3cat_cls_3.5k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="distill-lab/train_dit02_initials_3cat_cls_3.5k") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("distill-lab/train_dit02_initials_3cat_cls_3.5k") model = AutoModelForImageClassification.from_pretrained("distill-lab/train_dit02_initials_3cat_cls_3.5k") - Notebooks
- Google Colab
- Kaggle