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kuppuluri/
telugu_bertu_tydiqa

Name: telugu_bertu_tydiqa
Availability: InStock

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Telugu Question-Answering model trained on Tydiqa dataset from Google

How to use

Use the below script from your python terminal as the web interface for inference has few encoding issues for Telugu

python

from transformers.pipelines import pipeline, AutoModelForQuestionAnswering, AutoTokenizer
model = AutoModelForQuestionAnswering.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained("kuppuluri/telugu_bertu_tydiqa",
                                          clean_text=False,
                                          handle_chinese_chars=False,
                                          strip_accents=False,
                                          wordpieces_prefix='##')
nlp = pipeline('question-answering', model=model, tokenizer=tokenizer)
result = nlp({'question': question, 'context': context})

Training data

I used Tydiqa Telugu data from Google https://github.com/google-research-datasets/tydiqa

PS: If you find my model useful, I would appreciate a note from you as it would encourage me to continue improving it and also add new models.