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")# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0815f16e912c80a64414330a40721e2970616aad25495205afebef3fa524d78a
- Size of remote file:
- 440 MB
- SHA256:
- 382f64854160157ffd0fca9a33ac26b46d5db8e97aab11f62ef973c101a2fcfc
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