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