[Docs] fix typos in some tokenizer docs
diff --git a/src/transformers/models/longformer/tokenization_longformer.py b/src/transformers/models/longformer/tokenization_longformer.py
index 5ff6f70afdeaf..69bc50595387d 100644
--- a/src/transformers/models/longformer/tokenization_longformer.py
+++ b/src/transformers/models/longformer/tokenization_longformer.py
@@ -124,7 +124,7 @@ class LongformerTokenizer(PreTrainedTokenizer):
     >>> from transformers import LongformerTokenizer
     >>> tokenizer = LongformerTokenizer.from_pretrained("allenai/longformer-base-4096")
     >>> tokenizer("Hello world")['input_ids']
-    [0, 31414, 232, 328, 2]
+    [0, 31414, 232, 2]
     >>> tokenizer(" Hello world")['input_ids']
     [0, 20920, 232, 2]
     ```
diff --git a/src/transformers/models/longformer/tokenization_longformer_fast.py b/src/transformers/models/longformer/tokenization_longformer_fast.py
index 5d20caf8c2dfa..dfe1b08e1458f 100644
--- a/src/transformers/models/longformer/tokenization_longformer_fast.py
+++ b/src/transformers/models/longformer/tokenization_longformer_fast.py
@@ -100,7 +100,7 @@ class LongformerTokenizerFast(PreTrainedTokenizerFast):
     >>> from transformers import LongformerTokenizerFast
     >>> tokenizer = LongformerTokenizerFast.from_pretrained("allenai/longformer-base-4096")
     >>> tokenizer("Hello world")['input_ids']
-    [0, 31414, 232, 328, 2]
+    [0, 31414, 232, 2]
     >>> tokenizer(" Hello world")['input_ids']
     [0, 20920, 232, 2]
     ```
diff --git a/src/transformers/models/roberta/tokenization_roberta.py b/src/transformers/models/roberta/tokenization_roberta.py
index d291a2f9d97a0..e8d4a751bc197 100644
--- a/src/transformers/models/roberta/tokenization_roberta.py
+++ b/src/transformers/models/roberta/tokenization_roberta.py
@@ -115,7 +115,7 @@ class RobertaTokenizer(PreTrainedTokenizer):
     >>> from transformers import RobertaTokenizer
     >>> tokenizer = RobertaTokenizer.from_pretrained("roberta-base")
     >>> tokenizer("Hello world")['input_ids']
-    [0, 31414, 232, 328, 2]
+    [0, 31414, 232, 2]
     >>> tokenizer(" Hello world")['input_ids']
     [0, 20920, 232, 2]
     ```
diff --git a/src/transformers/models/roberta/tokenization_roberta_fast.py b/src/transformers/models/roberta/tokenization_roberta_fast.py
index 49311b3aeff9a..32cc66d750b0e 100644
--- a/src/transformers/models/roberta/tokenization_roberta_fast.py
+++ b/src/transformers/models/roberta/tokenization_roberta_fast.py
@@ -85,7 +85,7 @@ class RobertaTokenizerFast(PreTrainedTokenizerFast):
     >>> from transformers import RobertaTokenizerFast
     >>> tokenizer = RobertaTokenizerFast.from_pretrained("roberta-base")
     >>> tokenizer("Hello world")['input_ids']
-    [0, 31414, 232, 328, 2]
+    [0, 31414, 232, 2]
     >>> tokenizer(" Hello world")['input_ids']
     [0, 20920, 232, 2]
     ```

# What does this PR do?

<!--
Congratulations! You've made it this far! You're not quite done yet though.

Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.

Then, please replace this with a description of the change and which issue is fixed (if applicable). Please also include relevant motivation and context. List any dependencies (if any) that are required for this change.

Once you're done, someone will review your PR shortly (see the section "Who can review?" below to tag some potential reviewers). They may suggest changes to make the code even better. If no one reviewed your PR after a week has passed, don't hesitate to post a new comment @-mentioning the same persons---sometimes notifications get lost.
-->

<!-- Remove if not applicable -->

 Fix the typos in tokenizer examples.
 It would be 4 tokens. Thx


## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
      Pull Request section?
- [ ] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? Please add a link
      to it if that's the case.
- [ ] Did you make sure to update the documentation with your changes? Here are the
      [documentation guidelines](https://github.com/huggingface/transformers/tree/main/docs), and
      [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
- [ ] Did you write any new necessary tests?


## Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.

<!-- Your PR will be replied to more quickly if you can figure out the right person to tag with @

 If you know how to use git blame, that is the easiest way, otherwise, here is a rough guide of **who to tag**.
 Please tag fewer than 3 people.

Models:

- text models: @ArthurZucker and @younesbelkada
- vision models: @amyeroberts
- speech models: @sanchit-gandhi
- graph models: @clefourrier

Library:

- flax: @sanchit-gandhi
- generate: @gante
- pipelines: @Narsil
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- trainer: @sgugger

Integrations:

- deepspeed: HF Trainer: @stas00, Accelerate: @pacman100
- ray/raytune: @richardliaw, @amogkam

Documentation: @sgugger, @stevhliu and @MKhalusova

HF projects:

- accelerate: [different repo](https://github.com/huggingface/accelerate)
- datasets: [different repo](https://github.com/huggingface/datasets)
- diffusers: [different repo](https://github.com/huggingface/diffusers)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Maintained examples (not research project or legacy):

- Flax: @sanchit-gandhi
- PyTorch: @sgugger
- TensorFlow: @Rocketknight1

 -->
