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WindyTranslate/translate-eo-cs
translate-eo-cs 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 apache-2.0.
Machine translation model, eo to cs, published by Windstorm Labs.
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From the Hugging Face model README
Machine translation model, eo to cs, published by Windstorm Labs.
Derived from Helsinki-NLP/opus-mt-eo-cs, licensed apache-2.0.
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 full fine-tune on OPUS-100 parallel corpus data.
| Method | deep-finetune |
| Tensors modified | 253 of 254 |
| Max absolute weight delta | 1.656e-02 |
| 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-cs")
model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-eo-cs")
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 cs.