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@ -5,7 +5,7 @@ title: Transformers
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The [HuggingFace Transformers example](https://github.com/allegroai/clearml/blob/master/examples/frameworks/huggingface/transformers.ipynb)
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demonstrates how to integrate ClearML into your Transformer's [Trainer](https://huggingface.co/docs/transformers/v4.34.1/en/main_classes/trainer)
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code. The HuggingFace Trainer automatically uses the built-in [`ClearMLCallback`](https://huggingface.co/docs/transformers/v4.34.1/en/main_classes/callback#transformers.integrations.ClearMLCallback)
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if the `clearl` package is already installed, to log Transformers models, parameters, scalars, and more.
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if the `clearml` package is already installed, to log Transformers models, parameters, scalars, and more.
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In the example, ClearML is installed and set up in the training environment. This way ClearML can log models, parameters,
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scalars, and more.
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@ -4,7 +4,7 @@ title: Reproducing Experiments
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Reproduce experiments on local or remote machines in one of the following ways:
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* Cloning any experiment - Make an exact copy, while maintaining the original experiment
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* Resetting an experiment whose status is not Published - Delete the previous run's logs and output
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* Resetting an experiment whose status is not *Published* - Delete the previous run's logs and output
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After cloning or resetting, enqueue the reset or newly cloned experiment for execution by a worker.
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