Instructions to use Jialuo21/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jialuo21/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Jialuo21/results") 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("Jialuo21/results") model = AutoModelForImageClassification.from_pretrained("Jialuo21/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7b996a15758d3bcf536d5c1b1b6a91ee49cb529e67e254ca2426de4d0f1b66a
- Size of remote file:
- 5.3 kB
- SHA256:
- fcef3d9e3dd06acb5943d417c60c743b1e292112cbdb830bcd21ba7b681c7ca7
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