- Home
- Translation apps
- EasyNMT
On the recordRead 13 Oct 202621 facts
EasyNMT
On the record
- API access
- Yesgithub.com · read 22 Sep 2026
- API endpoints
- The Docker documentation lists translation, language detection, and supported-language endpoints.github.com · read 13 Oct 2026
- Document limit
- The README states input limits of 512 word pieces for Opus-MT and 1024 for M2M models, with automatic sentence splitting for longer documents.github.com · read 13 Oct 2026
- Document translation
- Yesgithub.com · read 22 Sep 2026
- Installation
- The README gives `pip install -U easynmt` as the installation command.github.com · read 13 Oct 2026
- Integrations
- The README describes PyTorch-based models, fastText language detection, Docker images, and a Google Colab hosting example.github.com · read 12 Oct 2026
- Intended audience
- The repository describes the software as experimental and intended to encourage future research.github.com · read 13 Oct 2026
- Language coverage
- The README says Opus-MT supports 1200+ translation directions across 150+ languages.github.com · read 13 Oct 2026
- Language detection
- It can automatically detect source languages using fastText, with the README citing support for more than 170 languages.github.com · read 12 Oct 2026
- License
- The repository lists the Apache-2.0 license.github.com · read 13 Oct 2026
- License and security
- The repository is published under the Apache-2.0 license; the opened project pages do not state security certifications or compliance claims.github.com · read 12 Oct 2026
- Local models
- The Docker documentation says model files are stored at `/cache/`, which can be mounted on the host for reuse.github.com · read 13 Oct 2026
- Model availability
- The README says the 12-billion-parameter M2M model is not supported and lists M2M-100 models with 418 million and 1.2 billion parameters.github.com · read 12 Oct 2026
- Model limits
- The README states input limits of 512 word pieces for Opus-MT and 1,024 for M2M models; longer documents are split into sentences for translation.github.com · read 12 Oct 2026
- Models
- Available model wrappers include Opus-MT, mBART50, and M2M_100.github.com · read 13 Oct 2026
- Parallel processing
- EasyNMT lists multi-GPU and multi-process translation as features.github.com · read 13 Oct 2026
- Product
- EasyNMT is a Python package for neural machine translation across more than 100 languages.github.com · read 13 Oct 2026
- Release
- PyPI lists EasyNMT version 2.0.2, released May 27, 2022.pypi.org · read 12 Oct 2026
