Add README.md

README.md

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+---
+language:
+- en
+- tr
+license: cc-by-4.0
+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.