Comments (3)
LiuShixing
commented on June 29, 2024
模型是无监督预训练的，没有经过asr微调，所以没有词表，huggingface模型的config.json里的词表相关参数是转换导出hf格式时默认参数，因为模型本身没这个参数，所以保留了默认值。不清楚的参数可以看fairseq版模型的cfg确认
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cjgdo
commented on June 29, 2024
你好，下载的模型中没有提供vocab.json，而且我看config.json中的vocab_size是32，这个应该是英文的词汇表大小吧
你好，请问有找到vocab.json词表吗，能分享下吗
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wl1320310292
commented on June 29, 2024
你好，下载的模型中没有提供vocab.json，而且我看config.json中的vocab_size是32，这个应该是英文的词汇表大小吧
你好，请问有找到vocab.json词表吗，能分享下吗
没有，这版的模型并没有词表
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Related Issues (20)
- Failed to load pretrained model from huggingface HOT 12
- ASR finetune收敛速度问题 HOT 15
- 可以用作特征的是哪个字段里面的值 HOT 3
- 模型小型化 HOT 1
- 请问wenet speech中用于训练的100小时数据选取有技巧吗？还是任意选取都可以？ HOT 1
- 如何测试？ HOT 2
- 预训练超参mask_prob设置
- 能期待下vq-wav2vec的自监督backbone吗？
- 关于模型中没有task_cfg、model_cfg、model_weight、dictionaries_symbols这一问题，求大佬解答 HOT 7
- 请问预训练好模型之后提取音频特征时加权求和的具体做法是什么？ HOT 2
- 你好，有WavLM的中文预训练模型吗？
- 您好，改怎么进行微调呢？
- Fine-tune with my own dataset, wer is 1
- 采用预训练模型提取语音特征，怎么处理长语音，直接切割或滑窗处理？ HOT 1
- How many days did the pre-training phase take on large model?
- 请问如何用 fairseq 训练 wenetspeech HOT 1
- 最终输出是768维还是1024维呢？ HOT 5
- 请问最长能处理多长的语音？
- 请问如何使用huggingface代码finetune HOT 1
- 与原始版本预训练模型对比 HOT 4
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