longtu-nllb-zh2ko / README.md
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---
language:
- zh
- ko
license: cc-by-nc-4.0
tags:
- translation
- nllb
- fine-tuned
- game-localization
---
# longtu-nllb-zh2ko
Fine-tuned `facebook/nllb-200-distilled-600M` for zh-CN → ko game localization translation.
**Public model. License: cc-by-nc-4.0 (inherited from NLLB-200; non-commercial use only).**
Trained on a proprietary game localization corpus; game-domain terminology is encoded in the
weights. The original corpus text is not distributed with this model.
## Task
Sequence-to-sequence translation: Simplified Chinese (`zho_Hans`) → Korean (`kor_Hang`)
## Base model
`facebook/nllb-200-distilled-600M`
## Language pair
- Source: `zh-CN` (NLLB code: `zho_Hans`)
- Target: `ko` (NLLB code: `kor_Hang`)
- Direction: zh-CN → ko (unidirectional fine-tune)
## Usage
```python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
repo = "SimpleJerry/longtu-nllb-zh2ko"
tag = "earlystop-v1-ckpt48000" # always pin to a specific published checkpoint
tokenizer = AutoTokenizer.from_pretrained(repo, revision=tag)
model = AutoModelForSeq2SeqLM.from_pretrained(repo, revision=tag)
inputs = tokenizer("攻击力提升50%", return_tensors="pt", src_lang="zho_Hans")
output_ids = model.generate(
**inputs,
forced_bos_token_id=tokenizer.lang_code_to_id["kor_Hang"],
num_beams=4,
max_length=400,
)
print(tokenizer.decode(output_ids[0], skip_special_tokens=True))
```
Always pass `revision=<tag>` to pin to a specific published checkpoint.
No token is required to pull this public repository.
## Decoding defaults
See `generation_config.json`. Key parameters: `num_beams=4`, `max_length=400`.
## Provenance
- `corpus_sha256`: `30D5C299828C10235AEE357E9333740913E55C291C5B07A45C0739E41818EA97`
- `split_seed`: `42`
- `best_composite_metric` (0.5·BLEU + 0.5·preservation_nospace): `0.6993`
- Full training metadata: `run_manifest.json` (included in this repo)
Training governed by ADR-0020, ADR-0031. Distribution governed by ADR-0037.
## Published tag
`earlystop-v1-ckpt48000`
---
*Non-commercial use only (CC-BY-NC-4.0). Attribution required.*