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README.md
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@@ -25,11 +25,18 @@ Here is how to use this model to get the features of a given text in PyTorch:
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from transformers import AutoModelForQuestionAnswering, AutoTokenizer
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model = AutoModelForQuestionAnswering.from_pretrained("rubentito/bert-large-mpdocvqa")
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question = "Replace me by any text you'd like."
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context = "Put some context for answering"
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encoded_input = tokenizer(question, context, return_tensors='pt')
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output = model(**encoded_input)
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```
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## Model results
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from transformers import AutoModelForQuestionAnswering, AutoTokenizer
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model = AutoModelForQuestionAnswering.from_pretrained("rubentito/bert-large-mpdocvqa")
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tokenizer = AutoTokenizer.from_pretrained("rubentito/bert-large-mpdocvqa")
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question = "Replace me by any text you'd like."
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context = "Put some context for answering"
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encoded_input = tokenizer(question, context, return_tensors='pt')
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output = model(**encoded_input)
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start_pos = output.start_logits.argmax(dim=-1).item()
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end_pos = output.end_logits.argmax(dim=-1).item()
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pred_answer = context[start_pos:end_pos]
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```
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## Model results
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