dsinghvi/tinyayalidlog
TinyAya LID — Models, Eval Data & Training Artifacts Artifacts for the Contrastive UniLID project: language identification using LLM tokenizer vocabularies (TinyAya 261k BPE→Unigram), trained on GlotLID-C, evaluated on CommonLID. Source code: github.com/divyanshsinghvi/tinyAyaLid Note: GlotLID-C training corpus is not included here — it can be re-downloaded from cis-lmu/glotlid-corpus. This repo only ships the eval data, models, training weights, and LLM cache.… See the full description on the dataset page: https://huggingface.co/datasets/dsinghvi/tinyayalidlog.
| Author / organization | dsinghvi |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 264 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 11 March 2026 |
| Last updated at source | 7 April 2026 |
Recent changes
- 16 Oct 2026 Description: TinyAya LID — Models, Eval Data & Training Artifacts Artifacts for the Contrastive UniLID project: language identification using LLM tokenizer vocabularies (TinyAya 261k BPE→Unigram), trained on GlotLID-C, evaluated on CommonLID. Source cod → TinyAya LID — Models, Eval Data & Training Artifacts Artifacts for the Contrastive UniLID project: language identification using LLM tokenizer vocabularies (TinyAya 261k BPE→Unigram), trained on GlotLID-C, evaluated on CommonLID. Source cod
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