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On the recordRead 4 Oct 202614 facts
IndicTrans2
Plans and prices
IndicTrans2
Free
Open-source translation models and artifacts; no hosted plan or usage limits stated
Read 4 Oct 2026 · github.com
On the record
- Datasets
- The project releases the BPCC parallel corpus, BPCC back-translation data, and IN22 evaluation benchmarks.github.com · read 4 Oct 2026
- Deployment
- The README documents local command-line and Python inference workflows; it does not describe a hosted API or commercial integrations.github.com · read 4 Oct 2026
- Evaluation
- The project reports chrF++, BLEU, and COMET metrics and includes evaluation scripts and benchmarks.github.com · read 4 Oct 2026
- Inference
- Users can run batch or paragraph translation through Python interfaces using Fairseq or CTranslate2 models.github.com · read 4 Oct 2026
- Installation requirements
- The README recommends Python 3.7 or later and notes that some data preparation scripts require SentencePiece and GNU parallel.github.com · read 4 Oct 2026
- Intended users
- The repository describes its open data, models, and scripts as supporting use and adoption within the research community.github.com · read 4 Oct 2026
- Language coverage
- The models support English and Indic languages, including multiple scripts for Kashmiri, Manipuri, and Sindhi.github.com · read 4 Oct 2026
- License
- The repository code is under the MIT License, while released datasets have artifact-specific licenses including CC0 and CC-BY-4.0.github.com · read 4 Oct 2026
- Long context
- RoPE-based model variants are described as supporting sequence lengths up to 2048 tokens.github.com · read 4 Oct 2026
- Model variants
- The repository provides base and distilled model checkpoints, including Fairseq and Hugging Face artifacts.github.com · read 4 Oct 2026
- Purpose
- IndicTrans2 is an open-source multilingual neural machine translation model for the 22 scheduled Indic languages.github.com · read 4 Oct 2026
- Security and compliance
- The opened project pages do not state security certifications or compliance assurances.github.com · read 4 Oct 2026
- Training
- The repository includes scripts and instructions to train or fine-tune multilingual translation models.github.com · read 4 Oct 2026
- Translation directions
- Released model families cover English-to-Indic, Indic-to-English, and Indic-to-Indic translation.github.com · read 4 Oct 2026
