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Update README getting started instructions (#466)

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@ -67,10 +67,22 @@ Instrumenting these components is the **ClearML-server**, see [Self-Hosting](htt
#### [Start using ClearML](https://clear.ml/docs/latest/docs/getting_started/ds/ds_first_steps) #### [Start using ClearML](https://clear.ml/docs/latest/docs/getting_started/ds/ds_first_steps)
First, sign up for free to the [ClearML Hosted Service](https://app.community.clear.ml) (alternatively, you can set up your own server, see [here](https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server)).
Install the `clearml` python package:
```bash ```bash
pip install clearml pip install clearml
``` ```
Connect the ClearML SDK to the server by [creating credentials](https://app.community.clear.ml/profile), then execute the command
below and follow the instructions:
```bash
clearml-init
```
Add two lines to your code: Add two lines to your code:
```python ```python
from clearml import Task from clearml import Task
@ -78,7 +90,8 @@ task = Task.init(project_name='examples', task_name='hello world')
``` ```
You are done, everything your process outputs is now automagically logged into ClearML. You are done, everything your process outputs is now automagically logged into ClearML.
<br>Next step automation! **Learn more on ClearML two clicks automation [here](https://clear.ml/docs/latest/docs/getting_started/mlops/mlops_first_steps)**
Next step, automation! **Learn more about ClearML's two-click automation [here](https://clear.ml/docs/latest/docs/getting_started/mlops/mlops_first_steps)**.
## ClearML Architecture ## ClearML Architecture