Token Classification
Transformers
Safetensors
Korean
electra
ner
pii-detection
Generated from Trainer
koelectra
Instructions to use ParkJunSeong/PIILOT_NER_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ParkJunSeong/PIILOT_NER_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ParkJunSeong/PIILOT_NER_Model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ParkJunSeong/PIILOT_NER_Model") model = AutoModelForTokenClassification.from_pretrained("ParkJunSeong/PIILOT_NER_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from ParkJunSeong/PIILOT_NER_Model: direct link, hf CLI and curl.
- Browser
- Download file 125 Bytes
-
https://huggingface.co/ParkJunSeong/PIILOT_NER_Model/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://ParkJunSeong/PIILOT_NER_Model/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/ParkJunSeong/PIILOT_NER_Model/resolve/main/special_tokens_map.json
125 Bytes
| { | |
| "cls_token": "[CLS]", | |
| "mask_token": "[MASK]", | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "unk_token": "[UNK]" | |
| } | |