julianrisch
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Update README.md
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README.md
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@@ -49,7 +49,7 @@ docs = [
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Document(content="python ist eine beliebte Programmiersprache"),
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]
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reader = ExtractiveReader(model="deepset/roberta-base-squad2")
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reader.warm_up()
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question = "What is a popular programming language?"
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@@ -62,7 +62,7 @@ For a complete example with an extractive question answering pipeline that scale
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```python
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from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
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model_name = "deepset/roberta-base-squad2"
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# a) Get predictions
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nlp = pipeline('question-answering', model=model_name, tokenizer=model_name)
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Document(content="python ist eine beliebte Programmiersprache"),
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]
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reader = ExtractiveReader(model="deepset/xlm-roberta-base-squad2-distilled")
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reader.warm_up()
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question = "What is a popular programming language?"
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```python
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from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
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model_name = "deepset/xlm-roberta-base-squad2-distilled"
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# a) Get predictions
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nlp = pipeline('question-answering', model=model_name, tokenizer=model_name)
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