English to Malayalam translation model translate-en-ml
Open machine translation from English into Malayalam, published by Windstorm Labs on Hugging Face.
- Task
- Translation: English → Malayalam
- Languages
- English en, Malayalam ml
- Lineage
- OPUS-MT
- Format
- transformers (Marian), safetensors
- Hugging Face
- WindyTranslate/translate-en-ml
- Last updated on HF
- 2026-08-04
Quality
| Benchmark | chrF++ | BLEU | Band | Measured |
|---|---|---|---|---|
| FLORES-200 dev, 48 sentences | 30.72 | 4.31 | Usable | 2026-08-04 |
A screening score on 48 sentences, not a publication result. Bands: Excellent ≥ 60, Good 45–60, Usable 30–45, Limited 15–30, Not recommended < 15. Method and caveats.
Recorded output (sentence 1, first 110 characters)
- Source
- On Monday, scientists from the Stanford University School of Medicine announced the invention of a new diagnos…
- Reference
- തിങ്കളാഴ്ച്ച, സ്റ്റാൻഫോർഡ് യൂണിവേഴ്സിറ്റി സ്കൂൾ ഓഫ് മെഡിസിനിലെ ശാസ്ത്രജ്ഞന്മാർ കോശങ്ങളെ അവയുടെ ഇനം അനുസരിച്ച…
- This model
- തിങ്കളാഴ് ച സ്റ്റാൻഫോർഡ് യൂണിവേഴ് സിറ്റി സ് കൂൾ ഓഫ് മെഡിസിനിൽ നിന്നുള്ള ശാസ് ത്രജ്ഞർ ടൈപ്പ് ചെയ് തിരിക്കുന്ന ഒ
How to run
Shell
pip install transformers sentencepiece torchPython
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
repo = "WindyTranslate/translate-en-ml"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForSeq2SeqLM.from_pretrained(repo)
batch = tok(["Where is the train station?"], return_tensors="pt", padding=True)
print(tok.batch_decode(model.generate(**batch), skip_special_tokens=True)[0])Tested: Pattern run on 2026-10-01 against WindyTranslate/translate-tc-big-en-fr with transformers 4.57.6 and 5.18.0 on CPU ("Où se trouve la gare ?"); multi-target token prefix run against translate-tc-bible-big-mul-deu_eng_nld. Not run on every model individually.
Licence and attribution
- Licence
- Apache-2.0
- Upstream
- Helsinki-NLP/opus-mt-en-ml
- Upstream licence
- Apache-2.0
- Attribution
- Based on OPUS-MT model Helsinki-NLP/opus-mt-en-ml by Helsinki-NLP (Language Technology Research Group, University of Helsinki). Licensed Apache-2.0.
Copy this into your NOTICE file (or equivalent) when you ship the model:
NOTICE
This product uses the model WindyTranslate/translate-en-ml
(https://huggingface.co/WindyTranslate/translate-en-ml), published by Windstorm Labs (https://windstormlabs.com).
Based on OPUS-MT model Helsinki-NLP/opus-mt-en-ml by Helsinki-NLP (Language Technology Research Group, University of Helsinki). Licensed Apache-2.0.
Windstorm Labs modified the upstream weights; the model card describes what was changed.
Licensed under the Apache License, Version 2.0: https://www.apache.org/licenses/LICENSE-2.0This is a convenience, not legal advice. See Licensing.
Related models
| Model | chrF++ (FLORES-200 dev) | Licence |
|---|---|---|
| Malayalam to English translate-ml-en | 29.0 Limited | Apache-2.0 |
| Malayalam to English translate-windy-hplt-ml-en | not yet scored | CC-BY-4.0 |
| English to Malayalam translate-windy-hplt-en-ml | score withheld | CC-BY-4.0 |
| English to French translate-tc-big-en-fr | 69.6 Excellent | CC-BY-4.0 |
| English to Portuguese translate-tc-big-en-pt | 66.6 Excellent | CC-BY-4.0 |
| English to Bulgarian translate-tc-big-en-bg | 66.6 Excellent | CC-BY-4.0 |
| English to French translate-en-fr | 66.2 Excellent | Apache-2.0 |
| English to Danish translate-en-da | 65.6 Excellent | Apache-2.0 |