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
Sync ekko-pnc model card and cover
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README.md
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# Ekko PnC
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[Leaderboard](https://huggingface.co/spaces/RyeAI/danish-asr-leaderboard) 路
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[Benchmark data](https://huggingface.co/datasets/RyeAI/danish-asr-leaderboard) 路
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[Evaluation harness](https://github.com/Rye-A1/danish-asr-leaderboard)
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# Ekko PnC
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