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mBERT-hi-be-MLM-SQuAD-TyDi-MLQA Model Card

Use a pipeline as a high-level helper

from transformers import pipeline

pipe = pipeline("question-answering", model="hapandya/mBERT-hi-be-MLM-SQuAD-TyDi-MLQA")

Load model directly

from transformers import AutoTokenizer, AutoModelForQuestionAnswering

tokenizer = AutoTokenizer.from_pretrained("hapandya/mBERT-hi-be-MLM-SQuAD-TyDi-MLQA") model = AutoModelForQuestionAnswering.from_pretrained("hapandya/mBERT-hi-be-MLM-SQuAD-TyDi-MLQA")

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Safetensors
Model size
177M params
Tensor type
I64
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F32
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Datasets used to train hapandya/mBERT-hi-bn-MLM-SQuAD-TyDi-MLQA