n-waves/multifit
The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761
This project helps developers fine-tune language models for document and sentiment classification across multiple languages like German, Spanish, French, Italian, Japanese, Russian, and Chinese. It takes a pre-trained language model and custom text data in one of these languages, then outputs a specialized model ready for classification tasks. Developers working with natural language processing who need to quickly adapt models for specific, non-English text tasks will find this useful.
284 stars.
Use this if you are a developer looking for an efficient way to adapt language models for classification tasks on text data in a specific non-English language.
Not ideal if you are a non-developer seeking a ready-to-use application for multilingual text classification without coding.
Stars
284
Forks
55
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 22, 2026
Commits (30d)
0
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