Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use edgeun/roberta-base-klue-title-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edgeun/roberta-base-klue-title-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="edgeun/roberta-base-klue-title-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("edgeun/roberta-base-klue-title-classification") model = AutoModelForSequenceClassification.from_pretrained("edgeun/roberta-base-klue-title-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ec0f48e8f9f2b0d42694a25082ce74b1eaaffbb5c9ccceb9e2e7ee105ad8509
- Size of remote file:
- 5.3 kB
- SHA256:
- 8cbd402113ef4ed26f92e80d835babaf54aa355f4b015c1bd3f2b0a5f91872cc
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