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
Show Ekko PnC v2 terms on the model card
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language:
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license: cc-by-4.0
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license_link: https://huggingface.co/RyeAI/ekko-pnc/blob/
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thumbnail: https://huggingface.co/RyeAI/ekko-pnc/resolve/
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library_name: transformers
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pipeline_tag: token-classification
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base_model: jonfd/electra-small-nordic
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Ekko PnC v2 is released under CC BY 4.0. See
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[`MODEL_LICENSE.md`](MODEL_LICENSE.md), [`NOTICE`](NOTICE), and
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[`LICENSES/`](LICENSES/) for the terms and source notices. CoRal
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also apply to this model. The
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language:
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license_link: https://huggingface.co/RyeAI/ekko-pnc/blob/main/MODEL_LICENSE.md
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thumbnail: https://huggingface.co/RyeAI/ekko-pnc/resolve/d3129544e4e0155093e192cac58a9e69a4dea1ff/cover.png
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library_name: transformers
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pipeline_tag: token-classification
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base_model: jonfd/electra-small-nordic
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```text
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Ekko PnC v2 is released under CC BY 4.0. See
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[`MODEL_LICENSE.md`](MODEL_LICENSE.md), [`NOTICE`](NOTICE), and
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[`LICENSES/`](LICENSES/) for the terms and source notices. CoRal's use
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restrictions also apply to this trained model. The FT Speech and NST notices
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