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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Gameplay-Classcode-10") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Gameplay-Classcode-10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-313/optimizer.pt from prithivMLmods/Gameplay-Classcode-10: direct link, hf CLI and curl.
- Browser
- Download file 687 MB
-
https://huggingface.co/prithivMLmods/Gameplay-Classcode-10/resolve/main/checkpoint-313/optimizer.pt
- Command line
-
hf download hf://prithivMLmods/Gameplay-Classcode-10/checkpoint-313/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/prithivMLmods/Gameplay-Classcode-10/resolve/main/checkpoint-313/optimizer.pt
687 MB
- Xet hash:
- 847e74a1c0cadaa5b9fc2863caf2d76eac7a641f76893c1cbd09047da941f9b1
- Size of remote file:
- 687 MB
- SHA256:
- 8bcb0e4d9a9188067f8f24cb29dec78f8db68b2e63a79116d75d4ae667944148
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