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FiD-NQ

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t5
fid
text-generation-inference
Inference Endpoints
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- ![210333747-c001f1f0-8e3d-4f5c-ad32-4fdffdc6e17b.png](https://s3.amazonaws.com/moonup/production/uploads/1672830489959-63b52c0a889aa6707f07885b.png)
 
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- ![Screenshot 2022-11-16 at 23.26.16.png](https://s3.amazonaws.com/moonup/production/uploads/1672830489933-63b52c0a889aa6707f07885b.png)
 
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  <pre><code><span style="color:#03A9F4">from</span> transformers <span style="color:#03A9F4">import</span> AutoConfig, T5Tokenizer
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  <pre><code><span style="color:#03A9F4">from</span> fid <span style="color:#03A9F4">import</span> FiDT5
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+ ## FiD Architecture
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+ ![Screenshot 2022-11-16 at 23.26.16.png](https://s3.amazonaws.com/moonup/production/uploads/1672830489933-63b52c0a889aa6707f07885b.png)
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+ ## EM Score
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+ ![210333747-c001f1f0-8e3d-4f5c-ad32-4fdffdc6e17b.png](https://s3.amazonaws.com/moonup/production/uploads/1672830489959-63b52c0a889aa6707f07885b.png)
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+ This pre-trained model achieved 1-2% increase in EM than the FiD paper's result
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+ ## Usage
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  <pre><code><span style="color:#03A9F4">from</span> transformers <span style="color:#03A9F4">import</span> AutoConfig, T5Tokenizer
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  <pre><code><span style="color:#03A9F4">from</span> fid <span style="color:#03A9F4">import</span> FiDT5
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