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@@ -41,7 +41,7 @@ We recommend using the latest version of HF Transformers, or any `transformers>4
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  ## Quickstart
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- Below we provide a code snippet demonstrating how to load the tokenizer and model and generate content in response to an input context concerning multiple source documents and a related question or instruction. We strongly recommend to separate the texts and/or instructions using `\n\n` or `<doc-sep>` to maintain consistency with the format of the data used during training.
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  ```python
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  model = AutoModelForSeq2SeqLM.from_pretrained("yale-nlp/MDCure-FlanT5-Large", device_map='auto',torch_dtype="auto",)
 
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  ## Quickstart
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+ Below we provide a code snippet demonstrating how to load the tokenizer and model and generate content in response to an input context concerning multiple source documents and a related question or instruction. We strongly recommend to separate the texts and/or instruction using `\n\n` or `<doc-sep>` to maintain consistency with the format of the data used during training.
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  ```python
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  model = AutoModelForSeq2SeqLM.from_pretrained("yale-nlp/MDCure-FlanT5-Large", device_map='auto',torch_dtype="auto",)