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.int8.onnx from RyeAI/ekko-pnc: direct link, hf CLI and curl.
- Browser
- Download file 22.4 MB
-
https://huggingface.co/RyeAI/ekko-pnc/resolve/main/pnc.int8.onnx
- Command line
-
hf download hf://RyeAI/ekko-pnc/pnc.int8.onnx
-
curl -L -o pnc.int8.onnx https://huggingface.co/RyeAI/ekko-pnc/resolve/main/pnc.int8.onnx
22.4 MB
- Xet hash:
- 487fcce2545bb27ec281bd533c46d1f0a1f632374ff1c5ce7f0516030dd5bad5
- Size of remote file:
- 22.4 MB
- SHA256:
- 46bb979d409731872f10b6cb71298594595f16368d2aec2fcaf94d87b4266527
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