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README.md
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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
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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",)
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