Instructions to use morganchen1007/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use morganchen1007/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="morganchen1007/test") 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("morganchen1007/test") model = AutoModelForImageClassification.from_pretrained("morganchen1007/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65bf6b3637a28e78e0e549304cb125f28ce78cc2d8132c9e12b8ee4bfb9a7d4e
- Size of remote file:
- 188 MB
- SHA256:
- fe4d43d85ed12377a232864593eb300834ec543a49e6f0a1bba8e910fa426776
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