Instructions to use jonimakaroni/maskiner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonimakaroni/maskiner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jonimakaroni/maskiner") 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("jonimakaroni/maskiner") model = AutoModelForImageClassification.from_pretrained("jonimakaroni/maskiner") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
- 3
Evaluation results
- Accuracyself-reported0.804




