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
Release MatterWaveAI/grt-30m-ner (100% rotational head + 8-way geometric optimizer ablation)
b7025c9 verified Download tokenizer.json from MatterWaveAI/grt-30m-ner: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/MatterWaveAI/grt-30m-ner/resolve/main/tokenizer.json
- Command line
-
hf download hf://MatterWaveAI/grt-30m-ner/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MatterWaveAI/grt-30m-ner/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- dde3c5a4d468da6fe61f11ffa8f04af2d101f8f4a0fe118c37bd31bb8c3017b6
- Size of remote file:
- 11.4 MB
- SHA256:
- be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
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