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README.md
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@@ -52,7 +52,7 @@ The goal is to make Hugging Face workflows easier to build and operationalize.
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- `dagster-hf-datasets`: [Dagster-HF-Datasets](https://github.com/dagster-io/community-integrations/tree/main/libraries/dagster-hf-datasets) integrates Hugging Face datasets with Dagster for building reproducible, observable data pipelines.
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Load datasets directly as Dagster assets, apply transformations, and publish results back to the Hub.
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- Open-Source AI Cookbook with Transformers and Optuna: Contributed a [recipe](https://huggingface.co/learn/cookbook/en/optuna_hpo_with_transformers#hyperparameter-optimization-with-optuna-and-transformers) which showcases how best hyperparameters to fine-tune
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a lightweight BERT model for text classification on a subset of the IMDB dataset.
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- `dagster-hf-datasets`: [Dagster-HF-Datasets](https://github.com/dagster-io/community-integrations/tree/main/libraries/dagster-hf-datasets) integrates Hugging Face datasets with Dagster for building reproducible, observable data pipelines.
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Load datasets directly as Dagster assets, apply transformations, and publish results back to the Hub.
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- `Open-Source AI Cookbook with Transformers and Optuna`: Contributed a [recipe](https://huggingface.co/learn/cookbook/en/optuna_hpo_with_transformers#hyperparameter-optimization-with-optuna-and-transformers) which showcases how best hyperparameters to fine-tune
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a lightweight BERT model for text classification on a subset of the IMDB dataset.
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