Repository: huggingface/transformers
Pull request: feat: Add granite architectures to auto tokenizer name mappings

Branch: GraniteTokenizerMapping

# What does this PR do?

This PR adds the `granite`, `granitemoe`, `granitemoeshared`, and `granitemoehybrid` model architectures to the `TOKENIZER_MAPPING_NAMES` mapping so that using `pipeline` will correctly infer the tokenizer class when loading the models without needing to add it to the `config.json` in each model ([this line](https://github.com/huggingface/transformers/blob/main/src/transformers/pipelines/__init__.py#L955))

## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-a-pull-request),
      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?

@ArthurZucker for text model / tokenizer pipeline review
@Rocketknight1 for pipeline review
@mayank31398 for Granite models

<!-- 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
- vision models: @amyeroberts, @qubvel
- speech models: @eustlb
- graph models: @clefourrier

Library:

- flax: @gante and @Rocketknight1
- generate: @zucchini-nlp (visual-language models) or @gante (all others)
- pipelines: @Rocketknight1
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- trainer: @zach-huggingface, @SunMarc and @qgallouedec
- chat templates: @Rocketknight1

Integrations:

- deepspeed: HF Trainer/Accelerate: @SunMarc @zach-huggingface
- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
- quantization (bitsandbytes, autogpt): @SunMarc @MekkCyber

Documentation: @stevhliu

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: @Rocketknight1
- PyTorch: See Models above and tag the person corresponding to the modality of the example.
- TensorFlow: @Rocketknight1

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Changed files:
filename: src/transformers/models/auto/tokenization_auto.py
patch: @@ -245,6 +245,10 @@
         ("gpt_neox_japanese", ("GPTNeoXJapaneseTokenizer", None)),
         ("gptj", ("GPT2Tokenizer", "GPT2TokenizerFast" if is_tokenizers_available() else None)),
         ("gptsan-japanese", ("GPTSanJapaneseTokenizer", None)),
+        ("granite", ("GPT2Tokenizer", None)),
+        ("granitemoe", ("GPT2Tokenizer", None)),
+        ("granitemoehybrid", ("GPT2Tokenizer", None)),
+        ("granitemoeshared", ("GPT2Tokenizer", None)),
         ("grounding-dino", ("BertTokenizer", "BertTokenizerFast" if is_tokenizers_available() else None)),
         ("groupvit", ("CLIPTokenizer", "CLIPTokenizerFast" if is_tokenizers_available() else None)),
         ("helium", (None, "PreTrainedTokenizerFast" if is_tokenizers_available() else None)),