Comments (1)
If you are running the notebook on Colab it should not happen, but it seems your transformers package is of an older version. I have fixed it for compatibility of older versions. Basically you need to modify the load models to not load them in strict mode.
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Related Issues (20)
- the size of tensor a (251) must match the size of tensor b (51) at non-singleton dimension 2 HOT 3
- how to generate text sequence ? HOT 4
- How do I change default voices? HOT 3
- how to generate a more diverse voice by preset a random latent style embedding? HOT 1
- Solutions to punctuation pause problems HOT 2
- ValueError: cannot convert float NaN to integer HOT 1
- Is It Possible to Get Word-Level Timestamps for Generated Audio? HOT 1
- All the term of training losses are 0.000 except mel loss HOT 1
- styletts2 inference pip package HOT 1
- Current code doesn't work with hifigan HOT 4
- Testing foundation layer needed!
- Noise on long sentences HOT 1
- Some of FineTuning has this error HOT 5
- Using a smaller Hifigan HOT 1
- An Error From LJspeech Dataset HOT 1
- Stage 2 training bug (after joint training) HOT 7
- Speech-to-speech possible? HOT 3
- stage1 training issue HOT 6
- 你好,请问模型支持流式tts吗? HOT 1
- Fine-tuning worsens the quality of speech-synthesis. HOT 6
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