### xlm-r-large-arabic-sent 
Multilingual sentiment classification (Label_0: mixed, Label_1: negative, Label_2: positive) of Arabic reviews by fine-tuning XLM-Roberta-Large. 
Zero shot classification of other languages (also works in mixed languages - ex. Arabic & English). Mixed category is not accurate and may confuse other 
classes (was based on a rate of 3 out of 5 in reviews).  
Usage: see last section in this [Colab notebook](https://lnkd.in/d3bCFyZ)

{"language": ["ar", "en", "multilingual"], "license": "mit"}
transformers pytorch xlm-roberta text-classification ar en multilingual license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #xlm-roberta #text-classification #ar #en #multilingual #license-mit #autotrain_compatible #endpoints_compatible #region-us 

### xlm-r-large-arabic-sent 
Multilingual sentiment classification (Label_0: mixed, Label_1: negative, Label_2: positive) of Arabic reviews by fine-tuning XLM-Roberta-Large. 
Zero shot classification of other languages (also works in mixed languages - ex. Arabic & English). Mixed category is not accurate and may confuse other 
classes (was based on a rate of 3 out of 5 in reviews).  
Usage: see last section in this Colab notebook

### xlm-r-large-arabic-sent 
Multilingual sentiment classification (Label_0: mixed, Label_1: negative, Label_2: positive) of Arabic reviews by fine-tuning XLM-Roberta-Large. 
Zero shot classification of other languages (also works in mixed languages - ex. Arabic & English). Mixed category is not accurate and may confuse other 
classes (was based on a rate of 3 out of 5 in reviews).  
Usage: see last section in this Colab notebook
TAGS
#transformers #pytorch #xlm-roberta #text-classification #ar #en #multilingual #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 ### xlm-r-large-arabic-sent 
Multilingual sentiment classification (Label_0: mixed, Label_1: negative, Label_2: positive) of Arabic reviews by fine-tuning XLM-Roberta-Large. 
Zero shot classification of other languages (also works in mixed languages - ex. Arabic & English). Mixed category is not accurate and may confuse other 
classes (was based on a rate of 3 out of 5 in reviews).  
Usage: see last section in this Colab notebook
passage: TAGS
#transformers #pytorch #xlm-roberta #text-classification #ar #en #multilingual #license-mit #autotrain_compatible #endpoints_compatible #region-us 
### xlm-r-large-arabic-sent 
Multilingual sentiment classification (Label_0: mixed, Label_1: negative, Label_2: positive) of Arabic reviews by fine-tuning XLM-Roberta-Large. 
Zero shot classification of other languages (also works in mixed languages - ex. Arabic & English). Mixed category is not accurate and may confuse other 
classes (was based on a rate of 3 out of 5 in reviews).  
Usage: see last section in this Colab notebook