Instructions to use sudo-s/exper2_mesum5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/exper2_mesum5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/exper2_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/exper2_mesum5") model = AutoModelForImageClassification.from_pretrained("sudo-s/exper2_mesum5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 989994af66971090092e655876a7e99fda0b0115293ae8ed932e45176269fe81
- Size of remote file:
- 344 MB
- SHA256:
- 73f3835500ea1a37a54730f8793784f759429dbb8202be25415f90e9d72798c4
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