Instructions to use prithivMLmods/Gameplay-Classcode-10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Gameplay-Classcode-10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Gameplay-Classcode-10") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Gameplay-Classcode-10") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Gameplay-Classcode-10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df7b370d66e82bb573eb0dabadb102a8590432afb1ab6f2146d290840d002fb6
- Size of remote file:
- 5.3 kB
- SHA256:
- 95bb653dd97d78b7753ea82d077c8996b72fa1550f7010f4232616eb9770e680
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