Repository: pykeen/pykeen
Issue: LabelBasedTransformerRepresentation still cannot be imported
Root cause: Documentation Deficiency

### Describe the bug

I tried this example of the documentation https://pykeen.readthedocs.io/en/latest/tutorial/representations.html#label-based. And it shows the error. `ImportError: cannot import name 'LabelBasedTransformerRepresentation' from 'pykeen.nn.representation'` . I saw that there was already a similar reported Bug and I also update the version of pykeen to the latest one. But it still doesnt work. The codes that i executed is completely the same as the codes of the documentaion that I previously refered to.

### How to reproduce

```python
from pykeen.pipeline import pipeline
from pykeen.datasets import get_dataset
from pykeen.nn.representation import LabelBasedTransformerRepresentation
from pykeen.models import ERModel
import torch

dataset = get_dataset(dataset="nations")
entity_representations = LabelBasedTransformerRepresentation.from_triples_factory(
    triples_factory=dataset.training,
)
result = pipeline(
    dataset=dataset,
    model=ERModel,
    model_kwargs=dict(
        interaction="ermlpe",
        interaction_kwargs=dict(
            embedding_dim=entity_representations.shape[0],
        ),
        entity_representations=entity_representations,
        relation_representations_kwargs=dict(
            shape=entity_representations.shape,
        ),
    ),
    training_kwargs=dict(
        num_epochs=1,
    ),
)
model = result.model


entity_representation = model.entity_representations[0]
label_encoder = entity_representation.encoder
uk, united_kingdom = label_encoder(labels=["uk", "united kingdom"])

# true triple from train: ['brazil', 'exports3', 'uk']
relation_representation = model.relation_representations[0]
h_repr = entity_representation.get_in_more_canonical_shape(
    dim="h",
    indices=torch.as_tensor(dataset.entity_to_id["brazil"]).view(1),
)
r_repr = relation_representation.get_in_more_canonical_shape(
    dim="r",
    indices=torch.as_tensor(dataset.relation_to_id["exports3"]).view(1),
)
scores = model.interaction(
    h=h_repr,
    r=r_repr,
    t=torch.stack([uk, united_kingdom]),
)
```

### Environment

 Key             | Value                    |
|-----------------|--------------------------|
| OS              | posix                    |
| Platform        | Linux                    |
| Release         | 5.15.0-50-generic        |
| Time            | Thu Oct 20 19:38:32 2022 |
| Python          | 3.9.12                   |
| PyKEEN          | 1.9.1-dev                |
| PyKEEN Hash     | UNHASHED                 |
| PyKEEN Branch   |                          |
| PyTorch         | 1.12.1+cu102             |
| CUDA Available? | false                    |
| CUDA Version    | 10.2                     |
| cuDNN Version   | 7605                     |

### Additional information

_No response_

### Issue Template Checks

- [X] This is not a feature request (use a different issue template if it is)
- [X] This is not a question (use the [discussions](https://github.com/pykeen/pykeen/discussions/new) forum instead)
- [X] I've read the text explaining why including environment information is important and understand if I omit this information that my issue will be dismissed

Hi @renzhonglu11 ,

first of all, it is always useful to provide the full traceback instead of the plain error message :slightly_smiling_face: 

However, I think I already see the error, since we generalized the `TransformerRepresentation` to a more flexible [`TextRepresentation`](https://github.com/pykeen/pykeen/blob/b840fc4cd96f2860c018c33c635baa7256bf887b/src/pykeen/nn/representation.py#L955). It seems the documentation was not updated properly.

> Hi @renzhonglu11 ,
> 
> first of all, it is always useful to provide the full traceback instead of the plain error message 🙂
> 
> However, I think I already see the error, since we generalized the `TransformerRepresentation` to a more flexible [`TextRepresentation`](https://github.com/pykeen/pykeen/blob/b840fc4cd96f2860c018c33c635baa7256bf887b/src/pykeen/nn/representation.py#L955). It seems the documentation was not updated properly.

Thanks for the reply