Fix docstrings for TF BLIP
Some of the docstrings were still a bit PyTorchy, this is fixed now! (cc @ydshieh)
@Rocketknight1 Thanks for adding tf-blip. 
PS. in case you're interested to contribute https://github.com/keras-team/keras-nlp/issues/941<|||||>@Rocketknight1  I tried to re-run the CI, but it still fails. Could you push an empty commit to trigger it maybe?<|||||>_The documentation is not available anymore as the PR was closed or merged._<|||||>@ydshieh tests are passing now! Can you approve the PR?<|||||>@Rocketknight1 When I run the doctest

```python
python3 -m pytest -v --make-reports doc_tests_gpu --doctest-modules src/transformers/models/blip/modeling_tf_blip.py::transformers.models.blip.modeling_tf_blip.TFBlipForConditionalGeneration.generate -sv --doctest-continue-on-failure --doctest-glob="*.mdx"
```
I got
```
Expected:
    two cats are laying on a couch
Got:
    two cats sleeping on a couch
```<|||||>Also, the changes are not just docstrings. After looking at the changes, I am wondering why we don't have CI failures (i.e. the usual testing).

It turns out that we do have  some failures
https://github.com/huggingface/transformers/actions/runs/4653835201/jobs/8235101265

@Rocketknight1 Do you want to verify/fix those in this same PR? (probably already fixed as CircleCI is green?)<|||||>Oh, that's very odd - I wonder why it's not visible in the CI? I'll take a look!<|||||>Thank you @Rocketknight1 . I am also confused why CircleCI is green but failed on daily CI.<|||||>@ydshieh tests should pass now! The cause was some expected values in the tests being wrong. I copied the right ones from the torch tests and now everything is passing locally, so hopefully the CI will agree.<|||||>The doctests are weird, though - I think some of them were broken in PyTorch too. Working on it!<|||||>Thanks @Rocketknight1 I will double check. But do you figure out (some of) tests pass on CircleCI but fails on daily CI - the pt<->tf equivalence tests also run on CircleCI. We should see they fail on it (as they fail on daily CI).<|||||>For the doctest, we still get 

```python
Expected:
    two cats are laying on a couch
Got:
    two cats sleeping on a couch
```
for `TFBlipForConditionalGeneration.generate`.

Regarding the modeling tests - all tests pass now 🥳 <|||||>@ydshieh should be resolved now!