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
Download cover.png from RyeAI/ekko-pnc: direct link, hf CLI and curl.
- Browser
- Download file 527 kB
-
https://huggingface.co/RyeAI/ekko-pnc/resolve/main/cover.png
- Command line
-
hf download hf://RyeAI/ekko-pnc/cover.png
-
curl -L -o cover.png https://huggingface.co/RyeAI/ekko-pnc/resolve/main/cover.png
527 kB

- Xet hash:
- b5f26b7894a216e37a3334f0a178ab6bbcdd2c4f2dcbf470649bef7bb5472c96
- Size of remote file:
- 527 kB
- SHA256:
- 5761053781b2c17988b4cb00e0400e2f209336fb90b9e18811db577a90d1f1e6
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