Transformers
grt
geometric-rotation-transformer
tokenizer
polar-embedding
phase-angle-embedding
rotational-transformer
qwen3
matterwave
Instructions to use MatterWaveAI/grt-30m-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatterWaveAI/grt-30m-tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MatterWaveAI/grt-30m-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Yesterday
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Update README: remove GNU Free Software Statement, keep Apache 2.0 and matterwave.ai citation
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Update README with GRT-30M suite, GRT_Whitepaper.pdf, GNU Free-as-in-Freedom statement, and matterwave.ai citation
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Update README with GRT-30M suite, GRT_Whitepaper.pdf, GNU Free-as-in-Freedom statement, and matterwave.ai citation
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Add GRT Whitepaper links, GNU Free-as-in-Freedom statement, and matterwave.ai citation
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Release MatterWaveAI/grt-30m-tokenizer (BPE tokenizer + 19.57M shared polar phase-angle embedding bank)
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