--- language: - en - tr license: cc-by-nc-2.0 library_name: transformers pipeline_tag: translation tags: - translation - marian - english - turkish base_model: Helsinki-NLP/opus-mt-tc-big-en-tr --- # NedoTranslator NedoTranslator is an English-to-Turkish machine translation model fine-tuned from Helsinki-NLP/opus-mt-tc-big-en-tr at base revision e539fc16a8a1a0ea5950eb339b595bfcce990e90. ## Model details - Task: English to Turkish machine translation - Architecture: MarianMT - Parameters: 236,883,968 - Checkpoint dtype: float32 - Recommended decoding for benchmark parity: beam search with num_beams=4 - License: CC BY 4.0, following the base model license ## Usage ~~~python from transformers import AutoModelForSeq2SeqLM, AutoTokenizer model_id = "nmsofficial/NedoTranslator" tokenizer = AutoTokenizer.from_pretrained(model_id) model = AutoModelForSeq2SeqLM.from_pretrained(model_id) text = "Artificial intelligence is changing the way software is built." inputs = tokenizer(text, return_tensors="pt", truncation=True, max_length=512) outputs = model.generate(**inputs, num_beams=4, max_new_tokens=256) print(tokenizer.decode(outputs[0], skip_special_tokens=True)) ~~~ ## Provenance This Hub release corresponds to the local NedoTranslator production v1 checkpoint used in the September 2026 EN-to-TR benchmark runs. The uploaded bundle contains only the standard Transformers inference assets and excludes cluster-specific paths, training manifests, and local benchmark artifacts. Model weights SHA-256: 0344f97adf437f4aaa5cd63da05d4fa5a59bbab483c25165d37fecf7e799a5f5 ## Attribution Base model: Helsinki-NLP, opus-mt-tc-big-en-tr. Please retain attribution and follow the CC BY 4.0 license terms when redistributing or adapting this model.