Instructions to use Mo0310/5242_wo_pRCC_wbc50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mo0310/5242_wo_pRCC_wbc50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Mo0310/5242_wo_pRCC_wbc50") 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("Mo0310/5242_wo_pRCC_wbc50") model = AutoModelForImageClassification.from_pretrained("Mo0310/5242_wo_pRCC_wbc50") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffe6fe6fef57eaafe16718125989e699f4d39012d50a5a8fafca81e407807495
- Size of remote file:
- 343 MB
- SHA256:
- d406a53970dae2282f56b45211975283ed1e9756fc8ab74cbd1a9b6a1338c43e
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