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[DOCS] Clean up CLI examples in ML docs (#766)

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* [DOCS] Clean up CLI examples in ML docs

* Fixes spaces

* Rebuild for testing copy-paste
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kosabogi 2025-04-07 10:06:37 +02:00 committed by GitHub
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docs/reference/machine-learning.md
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@ -47,7 +47,7 @@ You need to install the appropriate version of PyTorch to import an NLP model. R
For NLP tasks, Eland enables you to import PyTorch models into {{es}}. Use the `eland_import_hub_model` script to download and install supported [transformer models](https://huggingface.co/transformers) from the [Hugging Face model hub](https://huggingface.co/models). For example:
```bash
$ eland_import_hub_model <authentication> \ <1>
eland_import_hub_model <authentication> \ <1>
--url http://localhost:9200/ \ <2>
--hub-model-id elastic/distilbert-base-cased-finetuned-conll03-english \ <3>
--task-type ner \ <4>
@ -63,7 +63,7 @@ $ eland_import_hub_model <authentication> \ <1>
For more information about the available options, run `eland_import_hub_model` with the `--help` option.
```bash
$ eland_import_hub_model --help
eland_import_hub_model --help
```
@ -79,7 +79,7 @@ If you want to use Eland without installing it, you can use the Docker image:
You can use the container interactively:
```bash
$ docker run -it --rm --network host docker.elastic.co/eland/eland
docker run -it --rm --network host docker.elastic.co/eland/eland
```
Running installed scripts is also possible without an interactive shell, for example: