Instructions to use chenged118/dragonImageClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chenged118/dragonImageClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="chenged118/dragonImageClassification") 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("chenged118/dragonImageClassification") model = AutoModelForImageClassification.from_pretrained("chenged118/dragonImageClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
b97e263 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:af7750db6e56f7ec797fd24378750f2d15563c00e9adbe8e8e184fc8aaa17b1d
size 343251660
|