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Hello I have some questions about the greek language recognition
thank you |
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Replies: 2 comments
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Hi @gipt66, thanks for the detailed questions. Let me address each: 1. Romanized output for Greek Greek IS one of the 31 supported languages. The romanized output likely happens because the 2. Correct language value for Greek The prompt template is in Chinese ( from funasr import AutoModel
model = AutoModel(
model="FunAudioLLM/Fun-ASR-Nano-2512",
hub="hf",
trust_remote_code=True,
vad_model="fsmn-vad",
vad_kwargs={"max_single_segment_time": 30000},
device="cuda"
)
result = model.generate(input="greek_audio.wav", language="希腊语", batch_size=1)The Chinese name for Greek is 3. These are expected and harmless. The CTC decoder weights exist in the checkpoint for the vLLM inference engine path but are not loaded when using standard AutoModel inference. Safe to ignore. 4. Native script recovery Once you pass |
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Correction to my earlier reply: Greek is not supported by the base from funasr import AutoModel
model = AutoModel(
model="FunAudioLLM/Fun-ASR-MLT-Nano-2512",
trust_remote_code=True,
)
result = model.generate(
input="your_greek_audio.wav",
language="希腊语",
llm_kwargs={"do_sample": False},
)The romanized output from the base checkpoint is therefore a model/language mismatch, not a Greek post-processing mode. I also found contradictory language claims in the base Hugging Face model card; a bilingual correction is prepared. If |
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Correction to my earlier reply: Greek is not supported by the base
FunAudioLLM/Fun-ASR-Nano-2512checkpoint. The base model covers Chinese (including Cantonese), English, and Japanese. Greek is supported byFunAudioLLM/Fun-ASR-MLT-Nano-2512.The romanized output from the base checkpoint is therefore a model/language mismatch, not a Greek post-processing mode. I also found contradictory language claims in the base Hugging Face model card; a bilingual…