Instructions to use Zy12138/DirectionClassify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zy12138/DirectionClassify with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Zy12138/DirectionClassify") 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("Zy12138/DirectionClassify") model = AutoModelForImageClassification.from_pretrained("Zy12138/DirectionClassify", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df32bc1b2abb1215d5e82ae8fa00f11ec6ac39c69ccc0486a267656fc9936e2a
- Size of remote file:
- 198 MB
- SHA256:
- 612bea1073c2d4ef096288caf0df56a868bf2454f54f00463be8fd24c331c9f2
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