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Update Neptune docs (#22452)

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Sabine
2023-03-29 20:15:38 +03:00
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examples/pytorch/README.md
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@@ -262,13 +262,13 @@ First, install the Neptune client library. You can do it with either `pip` or `c
`pip`: `pip`:
```bash ```bash
pip install neptune-client pip install neptune
``` ```
`conda`: `conda`:
```bash ```bash
conda install -c conda-forge neptune-client conda install -c conda-forge neptune
``` ```
Next, in your model training script, import `NeptuneCallback`: Next, in your model training script, import `NeptuneCallback`:
@@ -294,6 +294,8 @@ trainer = Trainer(
) )
``` ```
**Note:** This method requires saving your Neptune credentials as environment variables (see the bottom of the section).
Alternatively, for more logging options, create a Neptune callback: Alternatively, for more logging options, create a Neptune callback:
```python ```python
@@ -336,7 +338,7 @@ Now, when you start the training with `trainer.train()`, your metadata will be l
| `NEPTUNE_API_TOKEN` | Your Neptune API token. To find and copy it, click your Neptune avatar and select **Get your API token**. | | `NEPTUNE_API_TOKEN` | Your Neptune API token. To find and copy it, click your Neptune avatar and select **Get your API token**. |
| `NEPTUNE_PROJECT` | The full name of your Neptune project (`workspace-name/project-name`). To find and copy it, head to **project settings** → **Properties**. | | `NEPTUNE_PROJECT` | The full name of your Neptune project (`workspace-name/project-name`). To find and copy it, head to **project settings** → **Properties**. |
For detailed instructions and examples, see the [Neptune docs](https://docs.neptune.ai/integrations-and-supported-tools/model-training/hugging-face). For detailed instructions and examples, see the [Neptune docs](https://docs.neptune.ai/integrations/transformers/).
### ClearML ### ClearML