
## Hinglish-Bert-Class fine-tuned on Hinglish11K dataset.
# MCC= 0.69


### Citation info

```bibtex
@model{
  contributors= {Mohammad Yusuf Jamal Aziz Azmi and
               Ayush Agrawal
               },
  year      = {2022},
  timestamp = {Sun, 08 May 2022},
}
```
{"language": ["en", "ur", "hi", "multilingual"], "license": "afl-3.0", "widget": [{"text": "Tum bohot badiya ho."}]}
transformers pytorch safetensors bert text-classification en ur hi multilingual license:afl-3.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #safetensors #bert #text-classification #en #ur #hi #multilingual #license-afl-3.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 


## Hinglish-Bert-Class fine-tuned on Hinglish11K dataset.
# MCC= 0.69


info


## Hinglish-Bert-Class fine-tuned on Hinglish11K dataset. # MCC= 0.69


info
TAGS
#transformers #pytorch #safetensors #bert #text-classification #en #ur #hi #multilingual #license-afl-3.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ## Hinglish-Bert-Class fine-tuned on Hinglish11K dataset. # MCC= 0.69


info
passage: TAGS
#transformers #pytorch #safetensors #bert #text-classification #en #ur #hi #multilingual #license-afl-3.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
## Hinglish-Bert-Class fine-tuned on Hinglish11K dataset.# MCC= 0.69


info