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2024-12-15 11:53:14 +02:00
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docs/getting_started/ds/best_practices.md
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@@ -21,7 +21,7 @@ During early stages of model development, while code is still being modified hea
- **Workstation with a GPU**, usually with a limited amount of memory for small batch-sizes. Use this workstation to train
the model and ensure that you choose a model that makes sense, and the training procedure works. Can be used to provide initial models for testing.
The abovementioned setups might be folded into each other and that's great! If you have a GPU machine for each researcher, that's awesome!
These setups can be folded into each other and that's great! If you have a GPU machine for each researcher, that's awesome!
The goal of this phase is to get a code, dataset, and environment set up, so you can start digging to find the best model!
- [ClearML SDK](../../clearml_sdk/clearml_sdk.md) should be integrated into your code (check out [Getting Started](ds_first_steps.md)).

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docs/getting_started/ds/ds_first_steps.md
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@@ -6,7 +6,7 @@ title: First Steps
## Install ClearML
First, [sign up for free](https://app.clear.ml)
First, [sign up for free](https://app.clear.ml).
Install the `clearml` python package:
```bash