Token Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use Hyeonseo/ko_roberta_small_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hyeonseo/ko_roberta_small_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Hyeonseo/ko_roberta_small_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Hyeonseo/ko_roberta_small_model") model = AutoModelForTokenClassification.from_pretrained("Hyeonseo/ko_roberta_small_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3687588fb7f8b5766b8670cf03853ce892fff6088fb47af03395f572c64cc1b8
- Size of remote file:
- 270 MB
- SHA256:
- c330c8e6d12663122256f8f53470e28de6e8fe988d31b59d7e7c12270c6956bd
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