Instructions to use Yuuki0/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yuuki0/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Yuuki0/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("Yuuki0/test") model = AutoModelForImageClassification.from_pretrained("Yuuki0/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 773abc13d54e7e33c8a90629c8d51c9e1a9c61b1cde3b80d67e015d7763fd0ec
- Size of remote file:
- 347 MB
- SHA256:
- fac061ce4805435e1803c42f0ac76c358a63e3be3fc0c103e0e8a3f9f0b237ee
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