Luxembourgish MFA-phone IPA transducer (University of Luxembourg ASR group), fine-tuned on in-domain Luxembourgish phone-level data (lb_shar_phones).

Item	Value
Architecture	Zipformer large transducer (RNN-T)
Base model	`anyspeech/zipa-large-noncausal-500k`
Output	Space-separated MFA phone IPA tokens
Tokenizer	`lb_phones.model`
License	MIT

Files

File	Description
`best-valid-loss.pt`	Lean PyTorch checkpoint (`model` / `model_avg`; no optimizer)
`config.json`	Hyperparameters and finetune metadata
`lb_phones.model` / `lb_phones.vocab`	SentencePiece phone tokenizer
`phones.json` / `phones.vocab`	Phone inventory helpers
`tokens.txt`	Token id table

License

MIT, matching upstream ZIPA.

Attribution

ZIPA: https://github.com/lingjzhu/zipa
Base: https://huggingface.co/anyspeech/zipa-large-noncausal-500k
Fine-tuning: unilux

pgilles/zipa-large-transducer-luxembourgish-phones

ZIPA Large Transducer — Luxembourgish MFA phones (finetune)

Files

License

Attribution

pgilles/
zipa-large-transducer-luxembourgish-phones