Image Classification
Transformers
Safetensors
PyTorch
vit
mnist
cnn
computer-vision
digit-recognition
custom_code
Instructions to use Akimotorakiyu/GuoJing-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Akimotorakiyu/GuoJing-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Akimotorakiyu/GuoJing-model", trust_remote_code=True) 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("Akimotorakiyu/GuoJing-model", trust_remote_code=True) model = AutoModelForImageClassification.from_pretrained("Akimotorakiyu/GuoJing-model", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Ctrl+K