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
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- Classcode
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# **Gameplay-Classcode-10**
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> **Gameplay-Classcode-10** is a vision-language model fine-tuned from **google/siglip2-base-patch16-224** using the **SiglipForImageClassification** architecture. It classifies gameplay screenshots or thumbnails into one of ten popular video game titles.
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- **Automatic tagging of gameplay content for streamers and creators**
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- **Organizing gaming datasets**
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- **Enhancing searchability in gameplay video repositories**
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- **Training AI systems for game-related content moderation or recommendations**
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# **Gameplay-Classcode-10**
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> **Gameplay-Classcode-10** is a vision-language model fine-tuned from **google/siglip2-base-patch16-224** using the **SiglipForImageClassification** architecture. It classifies gameplay screenshots or thumbnails into one of ten popular video game titles.
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- **Automatic tagging of gameplay content for streamers and creators**
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- **Organizing gaming datasets**
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- **Enhancing searchability in gameplay video repositories**
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- **Training AI systems for game-related content moderation or recommendations**
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