# ImportError: cannot import name 'send\_example\_telemetry' from 'transformers.utils' | upgrade the transformer version in AWS Sagemaker DLC

**URL:** <https://discuss.huggingface.co/t/importerror-cannot-import-name-send-example-telemetry-from-transformers-utils-upgrade-the-transformer-version-in-aws-sagemaker-dlc/20506>\
**Category:** Amazon SageMaker\
**Created:** [July 18, 2022, 9:22am UTC](https://discuss.huggingface.co/t/importerror-cannot-import-name-send-example-telemetry-from-transformers-utils-upgrade-the-transformer-version-in-aws-sagemaker-dlc/20506 "2022-07-18T09:22:37Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![dineshmane](https://avatars.discourse-cdn.com/v4/letter/d/e495f1/32.png) [@dineshmane](https://discuss.huggingface.co/u/dineshmane)\
**Post date:** [July 18, 2022, 9:22am UTC](https://discuss.huggingface.co/t/importerror-cannot-import-name-send-example-telemetry-from-transformers-utils-upgrade-the-transformer-version-in-aws-sagemaker-dlc/20506/1 "2022-07-18T09:22:37Z")

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Hi HF mighty community,

I am getting following error when executing fine tuning NER code on Sagemaker.

> ErrorMessage "ImportError: cannot import name ‘send\_example\_telemetry’ from ‘transformers.utils’ (/opt/conda/lib/python3.8/site-packages/transformers/utils/ **init**.py)

I am able to fine tune the run\_ner.py model on my local machine using latest version of Transformer library which is [4.21.0.dev0](https://github.com/huggingface/transformers/issues/17704#issuecomment-1167065092). However, when I try to run the model on Sagemaker, the training job is always failing throwing above Import error.  
Sagemaker DLC code snippet:

```auto
huggingface_estimator = HuggingFace(
	entry_point='run_ner.py',
	source_dir='./token-classification',
	instance_type='ml.p3.2xlarge',
	instance_count=1,
	role=role,
	#git_config=git_config,
	transformers_version='4.17.0',
	pytorch_version='1.10.2',
	py_version='py38',
	hyperparameters = hyperparameters
)

```

I tried to update the transformer parameter in HuggingFace() to  
transformers\_version=‘4.21.0’, but i get following Value error.

> ValueError: Unsupported huggingface version: 4.21.0. You may need to upgrade your SDK version (pip install -U sagemaker) for newer huggingface versions. Supported huggingface version(s): 4.4.2, 4.5.0, 4.6.1, 4.10.2, 4.11.0, 4.12.3, 4.17.0, 4.4, 4.5, 4.6, 4.10, 4.11, 4.12, 4.17

My hunch is, Sagemaker DLC is using older version of transformer, I am getting ImportError. Is there any way to upgrade the Sagemaker DLC transformer version or solve this issue in another way?

Thank you.  
-Dinesh

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<div class="post-metadata">

**Author:** ![philschmid](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/philschmid/32/38022_2.png) [@philschmid](https://discuss.huggingface.co/u/philschmid)\
**Post date:** [July 18, 2022, 11:01am UTC](https://discuss.huggingface.co/t/importerror-cannot-import-name-send-example-telemetry-from-transformers-utils-upgrade-the-transformer-version-in-aws-sagemaker-dlc/20506/2 "2022-07-18T11:01:19Z")

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How does your `run_ner.py` look? It looks like you are using a newer `run_ner.py` than the version in the container. You can get the correct example from the corresponding `release` tag, .e.g. for `4.17.0` it is : [transformers/run\_ner.py at v4.17.0 · huggingface/transformers · GitHub](https://github.com/huggingface/transformers/blob/v4.17.0/examples/pytorch/token-classification/run_ner.py)

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<div class="post-metadata">

**Author:** ![dineshmane](https://avatars.discourse-cdn.com/v4/letter/d/e495f1/32.png) [@dineshmane](https://discuss.huggingface.co/u/dineshmane)\
**Post date:** [July 18, 2022, 11:50am UTC](https://discuss.huggingface.co/t/importerror-cannot-import-name-send-example-telemetry-from-transformers-utils-upgrade-the-transformer-version-in-aws-sagemaker-dlc/20506/3 "2022-07-18T11:50:07Z")

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> [@dineshmane](#):
>
> send\_example\_telemetry

Thank you @philschmid for your swift response.  
Good catch! I clone the main branch of ‘transformers’ from [git](https://github.com/huggingface/transformers/blob/main/examples/pytorch/token-classification/run_ner.py). And in main branch run\_ner.py has below additional code snippet

> ```
> # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
> # information sent is the one passed as arguments along with your Python/PyTorch versions.
> send_example_telemetry("run_ner", model_args, data_args)
> 
> ```

Agree, switching the branch to 4.17.0 should solve this issue!

Also, few minutes ago, I found a way to upgrade the transformer version to 4.21.0.dev0 by adding one line of code in requirement.txt

> git+https://github.com/huggingface/transformers

Thanks!