Instructions to use sudo-s/exper1_mesum5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/exper1_mesum5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/exper1_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/exper1_mesum5") model = AutoModelForImageClassification.from_pretrained("sudo-s/exper1_mesum5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 388915b9d1bd16e41550705e29bb3a9fc16230feb4cf76b5ae031bab7a484f66
- Size of remote file:
- 344 MB
- SHA256:
- 4a614e80fd815b0f94e0af010bc6e9f4dbc8a26d9c5ca9602438544f5f5e4199
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