Token Classification
Transformers
Safetensors
grt
ner
named-entity-recognition
rotational-transformer
givens-rotations
clifford-algebra
matterwave
Instructions to use MatterWaveAI/grt-30m-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatterWaveAI/grt-30m-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MatterWaveAI/grt-30m-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("MatterWaveAI/grt-30m-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Yesterday
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Release MatterWaveAI/grt-30m-ner (100% rotational head + 8-way geometric optimizer ablation)
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