
    # **we train an adapter for a RoBERTa model for sequence classification on a sentiment analysis task using adapter-transformers, the AdapterHub adaptation of HuggingFace's transformers library.**

    ## Usage

    ```python

    model = load_from_hub(repo_id="DrishtiSharma/Adapter-for-RoBERTa-on-amazon-polarity", filename="adapter-roberta-base-amazon-polarity.pkl")

    ```
    
{"tags": ["text-classification", "amazon-polarity", "roberta-base", "Adapter"]}
text-classification amazon-polarity roberta-base Adapter region:us
TAGS
#text-classification #amazon-polarity #roberta-base #Adapter #region-us 


    # we train an adapter for a RoBERTa model for sequence classification on a sentiment analysis task using adapter-transformers, the AdapterHub adaptation of HuggingFace's transformers library.

    ## Usage

    
    
# we train an adapter for a RoBERTa model for sequence classification on a sentiment analysis task using adapter-transformers, the AdapterHub adaptation of HuggingFace's transformers library.

    ## Usage
TAGS
#text-classification #amazon-polarity #roberta-base #Adapter #region-us 
 # we train an adapter for a RoBERTa model for sequence classification on a sentiment analysis task using adapter-transformers, the AdapterHub adaptation of HuggingFace's transformers library.

    ## Usage
TAGS
#text-classification #amazon-polarity #roberta-base #Adapter #region-us 
# we train an adapter for a RoBERTa model for sequence classification on a sentiment analysis task using adapter-transformers, the AdapterHub adaptation of HuggingFace's transformers library.

    ## Usage