
# **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**!

{"language": "korean", "license": "apache-2.0", "datasets": ["Korean-Sarcasm"]}
transformers pytorch bert text-classification dataset:Korean-Sarcasm license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #dataset-Korean-Sarcasm #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


# 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!

# 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!
TAGS
#transformers #pytorch #bert #text-classification #dataset-Korean-Sarcasm #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 # 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!
passage: TAGS
#transformers #pytorch #bert #text-classification #dataset-Korean-Sarcasm #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
# 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!