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:
- f17dc5bebf7af4a6ddc02f6f953b8645e174c01593e689d7dcc2eff8b6213a0c
- Size of remote file:
- 372 MB
- SHA256:
- c9055af7d19d89d949a83d3199dbd2a38a587bf8661a8c7941cb91bfc40e5794
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