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korscm-mBERT

Text Classification Transformers PyTorch
bert Inference Endpoints
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YAML Metadata Error: "language" with value "korean" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like "code", "multilingual". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.

Korean-mBERT

This model is a fine-tune checkpoint of mBERT-base-cased over Hugging Face Kore_Scm dataset for Text classification.

How to use?

Task: binary-classification

  • LABEL_1: Sarcasm (Sarcasm means tweets contains sarcasm)
  • LABEL_0: Not Sarcasm (Not Sarcasm means tweets do not contain sarcasm)

Click on Use in Transformers!

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