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 pnc.onnx from RyeAI/ekko-pnc: direct link, hf CLI and curl.
- Browser
- Download file 241 kB
-
https://huggingface.co/RyeAI/ekko-pnc/resolve/main/pnc.onnx
- Command line
-
hf download hf://RyeAI/ekko-pnc/pnc.onnx
-
curl -L -o pnc.onnx https://huggingface.co/RyeAI/ekko-pnc/resolve/main/pnc.onnx
241 kB
- Xet hash:
- c0f7cb129d21bbc43a595af12b8dc520e6fa31aa234d1fa6942c4bdbfbffd259
- Size of remote file:
- 241 kB
- SHA256:
- 9ad9fdd3ad4a74666e0da898bf15e209b585215295e9f9080004bfad6147981b
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