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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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oid sha256:2a050746c5be9dd5700e27dea50061ea6792ed481b65c113c642e10330559dc2
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size 270057652
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