rohanrajpal/bert-base-multilingual-codemixed-cased-sentiment

I trained on a bert-base-multilingual-cased model from Huggingface and finetuned it on SAIL 2017 dataset . The model is a codemixed base model for hinglish (cased) (0 - Negative, 1 - Neutral, 2 - Positive)Here is how to use this model to get the features of a given text in PyTorch: # # You can include sample code which will be formatted . # # Here is a sample code that will be used to test the accuracy of the model on a given language . # The model was trained on the SAIL . 2017 dataset link on this pretrained model. # The training procedure is,