Instructions to use immanuelpeter/MoonViT-K3.1-Pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use immanuelpeter/MoonViT-K3.1-Pro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="immanuelpeter/MoonViT-K3.1-Pro", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("immanuelpeter/MoonViT-K3.1-Pro", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Today
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Restore the approved card
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Synchronize maintained vision bundle layout and manifest
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Synchronize maintained vision bundle layout and manifest
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Match official Projector exact GELU in inference example
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Rewrite the card in the house template
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Add tested single-image K3.1 Pro inference example
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Yesterday
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Extract pinned K3.1 Pro Tower and Projector with source identity and scoped parity evidence
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initial commit
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