Instructions to use sudo-s/exper4_mesum5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/exper4_mesum5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/exper4_mesum5") 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/exper4_mesum5") model = AutoModelForImageClassification.from_pretrained("sudo-s/exper4_mesum5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b642b4d49a26efd1f9e4bdb296192fbb82dc4d407300768b5a5bd2654a3b4ad2
- Size of remote file:
- 3.31 kB
- SHA256:
- b452bf8a76dd4c8fa44d88a4f3824cc16a206b6fe45b1bf8be0605274f944517
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