Token Classification
Transformers
ONNX
Safetensors
Danish
electra
punctuation-restoration
sentence-boundary-detection
truecasing
danish
Instructions to use RyeAI/ekko-pnc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyeAI/ekko-pnc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RyeAI/ekko-pnc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RyeAI/ekko-pnc") model = AutoModelForTokenClassification.from_pretrained("RyeAI/ekko-pnc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Use concise Ekko PnC v2 CC BY 4.0 terms
Browse files- MODEL_LICENSE.md +8 -20
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MODEL_LICENSE.md
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restrictions and licence copy to accompany distribution; those restrictions apply
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in addition to CC BY 4.0.
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`LICENSES/
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is not settled by this notice. The project owner has chosen to proceed with the
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source statement and Folketinget links attached; no separate legal opinion is
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claimed.
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NST text was also used. The publisher's
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[`alexandrainst/nst-da` dataset card](https://huggingface.co/datasets/alexandrainst/nst-da)
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identifies its license as CC0 1.0. The legal code is included at
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`LICENSES/CC0-1.0.txt`.
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This notice is not legal advice.
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# Ekko PnC v2 model license
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Ekko PnC v2 is licensed under Creative Commons Attribution 4.0 International
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(CC BY 4.0). It is derived from `jonfd/electra-small-nordic`, also licensed
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under CC BY 4.0. The full license is in `LICENSES/CC-BY-4.0.txt`.
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Use and redistribution are also subject to the CoRal restrictions in section 4
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of `LICENSES/CORAL-LICENSE`, which are incorporated into these model terms.
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Training-source notices and terms for FT Speech and NST are bundled in
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Modifications by RyeAI: a fused Danish punctuation and capitalization head,
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a running-text fine-tune
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the classifier bias, and ONNX exports. Training text included CoRal, FT Speech
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and NST; CoRal and FT Speech punctuation was restored by GPT-4o (Azure OpenAI).
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Ekko PnC v2 is derived from jonfd/electra-small-nordic (CC BY 4.0).
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Modifications by RyeAI: a fused Danish punctuation and capitalization head,
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a running-text fine-tune, a boundary-logit calibration folded into
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the classifier bias, and ONNX exports. Training text included CoRal, FT Speech
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and NST; CoRal and FT Speech punctuation was restored by GPT-4o (Azure OpenAI).
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a2010f343487d3f7618affe54f789f5487602331c0a8d03f49e9a7c547cf0499 LICENSES/CC0-1.0.txt
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ee93c98df9a894464d1c042b66c6039543776c463d06d1a6e93f176e08ca67bd LICENSES/CORAL-LICENSE
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dc655c46f69eeb15dd43786ad58fb5862cc794b36cc9d2c426ab5bc4b01f23ca config.json
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a2010f343487d3f7618affe54f789f5487602331c0a8d03f49e9a7c547cf0499 LICENSES/CC0-1.0.txt
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ee93c98df9a894464d1c042b66c6039543776c463d06d1a6e93f176e08ca67bd LICENSES/CORAL-LICENSE
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590f820521961c89e7795bd3f46575794f4cbdcb02cc9db682e825c0afc874aa MODEL_LICENSE.md
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a48af6ebefb6b003a855852289b4635ece42a8e8e40d47bd9341860e561e7bdf README.md
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9268092acbdc6b1774144e75362976df583acf8035ecdefcfcdff85decb85fe0 calibration.json
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dc655c46f69eeb15dd43786ad58fb5862cc794b36cc9d2c426ab5bc4b01f23ca config.json
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