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--- |
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license: cc |
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datasets: |
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- squad |
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- tydiqa |
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- mlqa |
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language: |
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- hi |
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- te |
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- en |
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pipeline_tag: question-answering |
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--- |
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# mBERT-hi-te-MLM-SQuAD-TyDi-MLQA Model Card |
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## Use a pipeline as a high-level helper |
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from transformers import pipeline |
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pipe = pipeline("question-answering", model="hapandya/mBERT-hi-te-MLM-SQuAD-TyDi-MLQA") |
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## Load model directly |
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from transformers import AutoTokenizer, AutoModelForQuestionAnswering |
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tokenizer = AutoTokenizer.from_pretrained("hapandya/mBERT-hi-te-MLM-SQuAD-TyDi-MLQA") |
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model = AutoModelForQuestionAnswering.from_pretrained("hapandya/mBERT-hi-te-MLM-SQuAD-TyDi-MLQA") |
