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:
- ace689eb522505f935a7e562b0248e54e77f30db4926a10d3eaebec4b5489b06
- Size of remote file:
- 3.38 kB
- SHA256:
- 31fea32b5ecad7cbb6e4b1b78b4bc20533b42fad8cc319dfa3273d44a08eb4fb
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