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@@ -6,6 +6,8 @@ datasets:
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  model-index:
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  - name: extractive_reader_nq_squad_v2
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  results: []
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -50,3 +52,28 @@ The following hyperparameters were used during training:
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  - Pytorch 1.13.1+cu117
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  - Datasets 2.8.0
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  - Tokenizers 0.13.2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  model-index:
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  - name: extractive_reader_nq_squad_v2
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  results: []
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+ language:
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+ - en
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  - Pytorch 1.13.1+cu117
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  - Datasets 2.8.0
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  - Tokenizers 0.13.2
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+
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+
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+ ### Code Examples
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+
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+ ```python
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+ import torch
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+ import numpy as np
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+ from transformers import AutoTokenizer, AutoModelForQuestionAnswering
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+
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+ tokenizer = AutoTokenizer.from_pretrained("ToluClassics/extractive_reader_nq_squad_v2")
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+
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+ model = AutoModelForQuestionAnswering.from_pretrained("ToluClassics/extractive_reader_nq_squad_v2")
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+
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+ question = ""
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+ context = ""
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+
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+ inputs = tokenizer.encode(question, context, add_special_tokens=True, return_tensors="pt")
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+
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+ output = model(inputs)
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+
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+ answer_start = torch.argmax(output.start_logits)
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+ answer_end = torch.argmax(output.end_logits)
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+ if answer_end >= answer_start:
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+ print(tokenizer.decode(inputs[0][answer_start:answer_end+1]))
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+ ```