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fix typo in README (#1799)
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bhargavshirin authored Oct 30, 2023
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Expand Up @@ -128,7 +128,7 @@ More information on installation such as optional dependencies and requirements

### Recipes

To enable flexibility, ease of use, and repeatability, SparseML uses a declarative interface called `recipes` for specifying the sparsity-related algorithms and hyperparamters that should be applied by SparseML.
To enable flexibility, ease of use, and repeatability, SparseML uses a declarative interface called `recipes` for specifying the sparsity-related algorithms and hyperparameters that should be applied by SparseML.

`Recipes` are YAML-files formatted as a list of `modifiers`, which encode the instructions for SparseML. Example `modifiers` can be anything from setting the learning rate to encoding the hyperparameters of the gradual magnitude pruning algorithm. The SparseML system parses the `recipes` into a native format for each framework and applies the modifications to the model and training pipeline.

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