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title: Transformers
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---
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The [HuggingFace Transformers example](https://github.com/allegroai/clearml/blob/master/examples/frameworks/huggingface/transformers.ipynb)
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The [Hugging Face 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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code. The Hugging Face 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 `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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@ -13,7 +13,7 @@ scalars, and more.
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When the example runs, it creates a ClearML task called `Trainer` in the `HuggingFace Transformers` project. To change
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the task's name or project, use the `CLEARML_PROJECT` and `CLEARML_TASK` environment variables respectively.
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For more information about integrating ClearML into your Transformers code, see [HuggingFace Transformers](../../../integrations/transformers.md).
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For more information about integrating ClearML into your Transformers code, see [Hugging Face Transformers](../../../integrations/transformers.md).
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## WebApp
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title: Accelerate
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---
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HuggingFace's [Accelerate](https://huggingface.co/docs/accelerate/main/en/index) library simplifies DL model training
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Hugging Face's [Accelerate](https://huggingface.co/docs/accelerate/main/en/index) library simplifies DL model training
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and inference. ClearML is a supported tracker in Accelerate: It automatically logs experiment environment information,
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such as required packages and uncommitted changes, and supports reporting scalars, parameters, debug samples, and plots.
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@ -16,7 +16,7 @@ This release is not backwards compatible - see notes below on upgrading
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* Add version number of serving session task
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* Triton engine support for variable request (matrix) sizes
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* Triton support, fix `--aux-config` to support more configurations elements
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* Huggingface Transformer support
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* Hugging Face Transformer support
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* `Preprocess` class as module
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@ -71,7 +71,7 @@ title: Version 1.13
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* Support ignoring `default_output_uri` on remote runs when `Task.init(output_uri=False)` was specified and the backend task data has no `output_uri` specified
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* Add configuration files logging [example](https://github.com/allegroai/clearml/blob/e6f1cc8a5c65f7007cf6452745d09795e776a548/examples/reporting/config_files.py)
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* Support raising `LoginError` when initializing
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* Add HuggingFace Transformers example ([ClearML GitHub PR #1146](https://github.com/allegroai/clearml/pull/1146))
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* Add Hugging Face Transformers example ([ClearML GitHub PR #1146](https://github.com/allegroai/clearml/pull/1146))
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* Improve docstrings for tag filters
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* Add a security policy file to the repository ([ClearML GitHub issue #1148](https://github.com/allegroai/clearml/issues/1148))
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@ -7,7 +7,7 @@ title: Version 1.2
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**New Features and Improvements**
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* Improve GPU Performance, 50%-300% improvement over vanilla Triton
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* Improve performance on CPU, optimize uvloop + multi-processing
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* Add Huggingface Transformer example
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* Add Hugging Face Transformer example
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* Add binary input support ([ClearML Serving PR #37](https://github.com/allegroai/clearml-serving/pull/37) )
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**Bug Fix**
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**New Features and Improvements**
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* 20% Overall performance increase
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* gRPC channel configuration ([ClearML Serving GitHub issue #49](https://github.com/allegroai/clearml-serving/issues/49))
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* Huggingface Transformer example
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* Hugging Face Transformer example
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**Bug fixes**
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* Fix NumPy compatibility ([ClearML Serving GitHub issue #47](https://github.com/allegroai/clearml-serving/issues/47) and [#46](https://github.com/allegroai/clearml-serving/issues/46))
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'integrations/catboost',
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'integrations/click',
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'integrations/fastai',
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{"HuggingFace": ['integrations/transformers', 'integrations/accelerate']},
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{"Hugging Face": ['integrations/transformers', 'integrations/accelerate']},
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'integrations/hydra', 'integrations/jsonargparse',
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'integrations/keras', 'integrations/keras_tuner',
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'integrations/langchain',
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@ -201,7 +201,7 @@ module.exports = {
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'guides/frameworks/autokeras/autokeras_imdb_example',
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'guides/frameworks/catboost/catboost',
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'guides/frameworks/fastai/fastai_with_tensorboard',
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{'HuggingFace': ['guides/frameworks/huggingface/transformers']},
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{'Hugging Face': ['guides/frameworks/huggingface/transformers']},
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{'Keras': ['guides/frameworks/keras/jupyter', 'guides/frameworks/keras/keras_tensorboard']},
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'guides/frameworks/lightgbm/lightgbm_example',
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'guides/frameworks/matplotlib/matplotlib_example',
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