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@@ -5,7 +5,7 @@ inference: false
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  # IndoBERT-Lite base fine-tuned on Translated SQuAD v2
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- [IndoBERT-Lite](https://huggingface.co/indobenchmark/indobert-lite-base-p2) created by [Indo Benchmark](https://www.indobenchmark.com/) and fine-tuned on [Translated SQuAD 2.0](https://github.com/Wikidepia/indonesia_dataset/tree/master/question-answering/SQuAD) for **Q&A** downstream task.
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  ## Model in action
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@@ -15,7 +15,7 @@ Fast usage with **pipelines**:
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  from transformers import BertTokenizerFast, pipeline
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  tokenizer = BertTokenizerFast.from_pretrained(
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- 'Wikidepia/albert-bahasa-uncased-squad'
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  )
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  qa_pipeline = pipeline(
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  "question-answering",
 
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  # IndoBERT-Lite base fine-tuned on Translated SQuAD v2
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+ [IndoBERT-Lite](https://huggingface.co/indobenchmark/indobert-lite-base-p2) trained by [Indo Benchmark](https://www.indobenchmark.com/) and fine-tuned on [Translated SQuAD 2.0](https://github.com/Wikidepia/indonesia_dataset/tree/master/question-answering/SQuAD) for **Q&A** downstream task.
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  ## Model in action
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  from transformers import BertTokenizerFast, pipeline
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  tokenizer = BertTokenizerFast.from_pretrained(
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+ 'Wikidepia/indobert-lite-squad'
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  )
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  qa_pipeline = pipeline(
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  "question-answering",