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kwoncho
/
ko-sroberta-multitask-informative

Text Classification
Transformers
PyTorch
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
4

Instructions to use kwoncho/ko-sroberta-multitask-informative with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kwoncho/ko-sroberta-multitask-informative with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="kwoncho/ko-sroberta-multitask-informative")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("kwoncho/ko-sroberta-multitask-informative")
    model = AutoModelForSequenceClassification.from_pretrained("kwoncho/ko-sroberta-multitask-informative")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#4 opened 6 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#3 opened 6 months ago by
SFconvertbot

Question about the model's license

2
#2 opened 6 months ago by
hayleyson

Adding `safetensors` variant of this model

#1 opened over 1 year ago by
SFconvertbot
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