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WindyTranslate/translate-eo-caenes
translate-eo-caenes is a translation model from WindyTranslate. Use it when you need text moved from one language to another. It is set up for transformers. The card lists the license as cc-by-4.0.
Machine translation model, eo to caenes, published by Windstorm Labs.
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From the Hugging Face model README
Machine translation model, eo to caenes, published by Windstorm Labs.
Derived from Helsinki-NLP/opus-mt-eo-caenes, licensed cc-by-4.0.
Windstorm Labs did not train the original model. This notice provides the attribution the
licence requires.
The weights in this repository have been modified from the original. A LoRA fine-tune trained on parallel corpus data and merged into the base weights.
| Method | windy-hallmark |
| Tensors modified | 36 of 254 |
| Max absolute weight delta | 7.422e-05 |
| Verified | tensor-by-tensor against the upstream original, 2026-07-26 |
The comparison is tensor-level rather than file-level: safetensors and PyTorch .bin
containers hash differently even when the tensors inside are identical, so a file-hash
mismatch would prove nothing.
A single transformers build in safetensors format, loadable directly:
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tok = AutoTokenizer.from_pretrained("WindyTranslate/translate-eo-caenes")
model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-eo-caenes")
batch = tok(["<your text here>"], return_tensors="pt", padding=True)
print(tok.batch_decode(model.generate(**batch), skip_special_tokens=True))
Other builds of this pair, including CTranslate2 INT8, are not included in this repository.
eo to caenes.