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README.md

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@@ -100,13 +100,13 @@ To serve multiple models in your deployment you can easily build a `config.yaml`
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```yaml
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models:
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- task: question_answering
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model_path: zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/base-none
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batch_size: 1
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alias: question_answering/base
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model_path: zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/base-none
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batch_size: 1
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alias: question_answering/base
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- task: question_answering
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model_path: zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/pruned_quant-aggressive_95
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batch_size: 1
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alias: question_answering/pruned_quant
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model_path: zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/pruned_quant-aggressive_95
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batch_size: 1
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alias: question_answering/pruned_quant
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```
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Finally, after your `config.yaml` file is built, run the server with the config file path as an argument:

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