Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
Korean
roberta
Generated from Trainer
Instructions to use Hyeonseo/ko_fin_ner_roberta_small_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hyeonseo/ko_fin_ner_roberta_small_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Hyeonseo/ko_fin_ner_roberta_small_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Hyeonseo/ko_fin_ner_roberta_small_model") model = AutoModelForTokenClassification.from_pretrained("Hyeonseo/ko_fin_ner_roberta_small_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Hyeonseo/ko_fin_ner_roberta_small_model: direct link, hf CLI and curl.
- Browser
- Download file 752 kB
-
https://huggingface.co/Hyeonseo/ko_fin_ner_roberta_small_model/resolve/main/tokenizer.json
- Command line
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hf download hf://Hyeonseo/ko_fin_ner_roberta_small_model/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Hyeonseo/ko_fin_ner_roberta_small_model/resolve/main/tokenizer.json
752 kB
File too large to display, you can check the raw version instead.