> ## Documentation Index
> Fetch the complete documentation index at: https://docs.vessl.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Transformers

VESSL provides integrations for 🤗 Transformers by HuggingFace in form of `TrainerCallback`.

## VesslCallback

`VesslCallback` extends `TrainerCallback` in Transformers, which can define the behaviors of `Trainer` during the training.
Add `VesslCallback` to callback parameter of `Trainer` class, so that the metrics logged by trainer are tracked by VESSL as well.
You can add instantiated `VesslCallback` to use another organization and project.

| Parameter                   | Description                                                |
| --------------------------- | ---------------------------------------------------------- |
| `access_token`              | Access token to override.                                  |
| `organization_name`         | Organization name to override.                             |
| `project_name`              | Project name to override.                                  |
| `credentials_file`          | Credential file to access the organization and the project |
| `force_update_access_token` | True if force update access token                          |

### Logging metrics

```python theme={null}
from vessl.integration.transformers import VesslCallback

...
# Add callback class itself, so that the default organization and project are used
trainer = Trainer(
    ...
    callbacks=[VesslCallback]
)

# ... or you can specify the configuration you want
callback = VesslCallback(
    access_token=YOUR_ACCESS_TOKEN,
    organization_name="your_organization",
    project_name = "your_project",
)
trainer = Trainer(
    ...,
    callbacks=[callback]
)
trainer.train()
...
```