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")# 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 tokenizer.json from RyeAI/ekko-pnc: direct link, hf CLI and curl.
- Browser
- Download file 2.3 MB
-
https://huggingface.co/RyeAI/ekko-pnc/resolve/main/tokenizer.json
- Command line
-
hf download hf://RyeAI/ekko-pnc/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/RyeAI/ekko-pnc/resolve/main/tokenizer.json
2.3 MB
File too large to display, you can check the raw version instead.