Allow using vocab size from config
State: closed | Pull request: yes
Labels: name: Run CICD

This MR allows the use of vocab size from config. In several cases once the indexed dataset is created, the tokenizer is used only to get vocab size.

# What does this PR do ?

Add a one line overview of what this PR aims to accomplish.

**Collection**: [Note which collection this PR will affect]

# Changelog 
- Add specific line by line info of high level changes in this PR.

# Usage
* You can potentially add a usage example below

```python
# Add a code snippet demonstrating how to use this 
```

# GitHub Actions CI

The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.

The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".

# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation

If you haven't finished some of the above items you can still open "Draft" PR.


## Who can review?

Anyone in the community is free to review the PR once the checks have passed. 
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.

# Additional Information
* Related to # (issue)


<!-- pylint-output-strict-mode-false -->

beep boop 🤖: 🙏 The following files have warnings. In case you are familiar with these, please try helping us to improve the code base.

---

Your code was analyzed with PyLint. The following annotations have been identified:

```
************* Module nemo.collections.llm.gpt.model.base
nemo/collections/llm/gpt/model/base.py:239:0: C0301: Line too long (122/119) (line-too-long)
nemo/collections/llm/gpt/model/base.py:416:0: C0301: Line too long (126/119) (line-too-long)
nemo/collections/llm/gpt/model/base.py:51:0: C0116: Missing function or method docstring (missing-function-docstring)
nemo/collections/llm/gpt/model/base.py:94:0: C0116: Missing function or method docstring (missing-function-docstring)
nemo/collections/llm/gpt/model/base.py:115:0: C0116: Missing function or method docstring (missing-function-docstring)
nemo/collections/llm/gpt/model/base.py:126:0: C0116: Missing function or method docstring (missing-function-docstring)
nemo/collections/llm/gpt/model/base.py:134:0: C0116: Missing function or method docstring (missing-function-docstring)
nemo/collections/llm/gpt/model/base.py:142:0: C0116: Missing function or method docstring (missing-function-docstring)
nemo/collections/llm/gpt/model/base.py:152:0: C0116: Missing function or method docstring (missing-function-docstring)
nemo/collections/llm/gpt/model/base.py:162:0: C0115: Missing class docstring (missing-class-docstring)
nemo/collections/llm/gpt/model/base.py:186:4: C0116: Missing function or method docstring (missing-function-docstring)
nemo/collections/llm/gpt/model/base.py:265:0: C0115: Missing class docstring (missing-class-docstring)
nemo/collections/llm/gpt/model/base.py:277:0: C0115: Missing class docstring (missing-class-docstring)
nemo/collections/llm/gpt/model/base.py:289:0: C0115: Missing class docstring (missing-class-docstring)
nemo/collections/llm/gpt/model/base.py:301:0: C0115: Missing class docstring (missing-class-docstring)
nemo/collections/llm/gpt/model/base.py:313:0: C0115: Missing class docstring (missing-class-docstring)
nemo/collections/llm/gpt/model/base.py:325:0: C0115: Missing class docstring (missing-class-docstring)
nemo/collections/llm/gpt/model/base.py:339:0: C0115: Missing class docstring (missing-class-docstring)
nemo/collections/llm/gpt/model/base.py:357:4: C0116: Missing function or method docstring (missing-function-docstring)
nemo/collections/llm/gpt/model/base.py:361:4: C0116: Missing function or method docstring (missing-function-docstring)
nemo/collections/llm/gpt/model/base.py:384:4: C0116: Missing function or method docstring (missing-function-docstring)
nemo/collections/llm/gpt/model/base.py:387:4: C0116: Missing function or method docstring (missing-function-docstring)
nemo/collections/llm/gpt/model/base.py:390:4: C0116: Missing function or method docstring (missing-function-docstring)
nemo/collections/llm/gpt/model/base.py:394:4: C0116: Missing function or method docstring (missing-function-docstring)
nemo/collections/llm/gpt/model/base.py:399:4: C0116: Missing function or method docstring (missing-function-docstring)
nemo/collections/llm/gpt/model/base.py:430:4: C0116: Missing function or method docstring (missing-function-docstring)
nemo/collections/llm/gpt/model/base.py:437:4: C0116: Missing function or method docstring (missing-function-docstring)
nemo/collections/llm/gpt/model/base.py:444:0: C0116: Missing function or method docstring (missing-function-docstring)
nemo/collections/llm/gpt/model/base.py:472:0: C0116: Missing function or method docstring (missing-function-docstring)
nemo/collections/llm/gpt/model/base.py:43:4: W0611: Unused import fused_weight_gradient_mlp_cuda (unused-import)

-----------------------------------
Your code has been rated at 8.89/10
```

---

Mitigation guide:

* Add sensible and useful docstrings to functions and methods
* For trivial methods like getter/setters, consider adding `# pylint: disable=C0116` inside the function itself
* To disable multiple functions/methods at once, put a `# pylint: disable=C0116` before the first and a `# pylint: enable=C0116` after the last.

By applying these rules, we reduce the occurance of this message in future.

Thank you for improving NeMo's documentation!

[🤖]: Hi @shanmugamr1992 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/12555658692) for this PR just finished successfully

So it might be time to merge this PR or get some approvals

I'm just a bot so I'll leave it you what to do next.

//cc @pablo-garay @ko3n1g