Instructions to use sudo-s/new_exper3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/new_exper3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/new_exper3") 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("sudo-s/new_exper3") model = AutoModelForImageClassification.from_pretrained("sudo-s/new_exper3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99567c00670383555f71d9a3edd5917009c1d97d191e17bc1d4ed28074a7399e
- Size of remote file:
- 344 MB
- SHA256:
- c5a69d600fa03ad8d7614e9d35440255d39a364043e246c5a7c2e5b76c3d41f8
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