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