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docs: remove mentionds of release candidate and pip install argilla --pre (#5293)
# Description <!-- Please include a summary of the changes and the related issue. Please also include relevant motivation and context. List any dependencies that are required for this change. --> Closes #5144 **Type of change** <!-- Please delete options that are not relevant. Remember to title the PR according to the type of change --> - Documentation update **How Has This Been Tested** <!-- Please add some reference about how your feature has been tested. --> **Checklist** <!-- Please go over the list and make sure you've taken everything into account --> - I added relevant documentation - I followed the style guidelines of this project - I did a self-review of my code - I made corresponding changes to the documentation - I confirm My changes generate no new warnings - I have added tests that prove my fix is effective or that my feature works - I have added relevant notes to the CHANGELOG.md file (See https://keepachangelog.com/)
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README.md

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Argilla is a **collaboration platform for AI engineers and domain experts** that require **high-quality outputs, full data ownership, and overall efficiency**.
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> [!NOTE]
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> This README represents the release candidate for the 2.0.0 SDK version. The README for the last stable version of the 1x SDK can be found [1.x](./argilla-v1/README.md)
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If you just want to get started, we recommend our [UI demo](https://demo.argilla.io/sign-in?auth=ZGVtbzoxMjM0NTY3OA%3D%3D) or our [free Hugging Face Spaces deployment integration](https://huggingface.co/new-space?template=argilla/argilla-template-space). Curious, and want to know more? Read our [documentation](https://argilla-io.github.io/argilla/latest/).
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## Why use Argilla?
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First things first! You can install the SDK with pip as follows:
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```console
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pip install argilla --pre
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pip install argilla
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```
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After that, you will need to deploy Argilla Server. The easiest way to do this is through our [free Hugging Face Spaces deployment integration](https://huggingface.co/new-space?template=argilla/argilla-template-space).

argilla-server/README.md

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Argilla is a **collaboration platform for AI engineers and domain experts** that require **high-quality outputs, full data ownership, and overall efficiency**.
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> [!NOTE]
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> This README represents the release candidate for the 2.0.0 SDK version. The README for the last stable version of the 1x SDK can be found [1.x](../argilla-v1/README.md)
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This repository only contains developer info about the backend server. If you want to get started, we recommend taking a
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look at our [main repository](https://github.com/argilla-io/argilla) or our [documentation](https://argilla-io.github.io/argilla/latest/).
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argilla/README.md

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First things first! You can install the SDK with pip as follows:
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```console
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pip install argilla --pre
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pip install argilla
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```
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After that, you will need to deploy Argilla Server. The easiest way to do this is through our [free Hugging Face Spaces deployment integration](https://huggingface.co/new-space?template=argilla/argilla-template-space).
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> As this is a release candidate version, you'll need to manually change the version in the HF Space Files > Dockerfile to `argilla/argilla-quickstart:v2.0.0rc1`.
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To use the client, you need to import the `Argilla` class and instantiate it with the API URL and API key.
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```python

argilla/docs/getting_started/installation.md

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## Install the SDK with pip
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```console
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pip install argilla --pre
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pip install argilla
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```
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## Run the Argilla server
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* Using a [HF Space](https://huggingface.co/new-space?template=argilla/argilla-template-space).
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!!! note
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As this is a release candidate version, you'll need to manually change the version in the HF Space Files > Dockerfile to `argilla/argilla-quickstart:v2.0.0rc2`.
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* Locally with Docker.
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```console

argilla/docs/getting_started/quickstart.md

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* Remotely using a [HF Space](https://huggingface.co/new-space?template=argilla/argilla-template-space). Check out the [full guide](huggingface-spaces.md) for a more detailed configuration.
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!!! note
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As this is a release candidate version, you'll need to manually change the version in the HF Space Files > Dockerfile to `argilla/argilla-quickstart:v2.0.0rc2`.
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* Locally using Docker.
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```console
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To manage users, workspaces and datasets in Argilla, you need to use the Argilla Python SDK. You can install it with pip as follows:
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```console
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pip install argilla --pre
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pip install argilla
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```
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### Connect to the Argilla server

argilla/docs/tutorials/text_classification.ipynb

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"\n",
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"* Remotely using a [HF Space](https://huggingface.co/new-space?template=argilla/argilla-template-space). ⚠️ If persistent storage is not enabled, you will lose your data when the server is stopped.\n",
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"\n",
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"!!! note\n",
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" As this is a release candidate version, you'll need to manually change the version in the HF Space Files > Dockerfile to `argilla/argilla-quickstart:v2.0.0rc2`.\n",
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"\n",
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"* Locally using Docker: `docker run -d --name quickstart -p 6900:6900 argilla/argilla-quickstart:v2.0.0rc2`"
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]
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"!pip install argilla --pre"
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"!pip install argilla"
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]
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},
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{

argilla/src/argilla/datasets/_export/card/argilla_template.md

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## Using this dataset with Argilla
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To load with Argilla, you'll just need to install Argilla as `pip install argilla --pre --upgrade` and then use the following code:
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To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code:
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```python
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import argilla as rg

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