sillsdev / sillsdev/silnlp

Zero shot tokenizer?

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Dominant language
Python
Stars
39
Forks
7
Avg merge
1d 9h
Merged PRs (30d)
5

Description

This is already showing promise for LLAMA. Can it be used for NLLB?

https://github.com/bminixhofer/zett

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue names the linked zett project and NLLB but no repository file or test. Start by reviewing zett and the existing NLLB pipeline entry points, then establish whether tokenizer support is feasible and define a concrete integration target before implementation.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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