Text Classification
Transformers
PyTorch
TensorFlow
Safetensors
Korean
roberta
intent-classification
text-embeddings-inference
Instructions to use bespin-global/klue-roberta-small-3i4k-intent-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bespin-global/klue-roberta-small-3i4k-intent-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bespin-global/klue-roberta-small-3i4k-intent-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bespin-global/klue-roberta-small-3i4k-intent-classification") model = AutoModelForSequenceClassification.from_pretrained("bespin-global/klue-roberta-small-3i4k-intent-classification") - Notebooks
- Google Colab
- Kaggle
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