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 deploy.int8.env from RyeAI/ekko-pnc: direct link, hf CLI and curl.
- Browser
- Download file 303 Bytes
-
https://huggingface.co/RyeAI/ekko-pnc/resolve/main/deploy.int8.env
- Command line
-
hf download hf://RyeAI/ekko-pnc/deploy.int8.env
-
curl -L -o deploy.int8.env https://huggingface.co/RyeAI/ekko-pnc/resolve/main/deploy.int8.env
303 Bytes
| EKKO_PNC_MODEL_FILENAME=pnc.int8.onnx | |
| EKKO_PNC_ONNX_SHA256=46bb979d409731872f10b6cb71298594595f16368d2aec2fcaf94d87b4266527 | |
| EKKO_PNC_TOKENIZER_SHA256=a1e0d43ee307ad7a1ccc23e6e5398d877a68ca7f576067ac507625a0d50e9502 | |
| EKKO_PNC_CONFIG_SHA256=dc655c46f69eeb15dd43786ad58fb5862cc794b36cc9d2c426ab5bc4b01f23ca | |