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Update README.md, fixed some quotes (#3436)
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neuhausler committed Jun 10, 2023
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Expand Up @@ -338,7 +338,7 @@ if you have any questions.
training a BERT-based sentiment analysis model with Ludwig is as simple as:

```shell
ludwig train --dataset sst5 --config_str {input_features: [{name: sentence, type: text, encoder: bert}], output_features: [{name: label, type: category}]}
ludwig train --dataset sst5 --config_str "{input_features: [{name: sentence, type: text, encoder: bert}], output_features: [{name: label, type: category}]}"
```

- **Low-code interface for AutoML**
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