Comments (6)
Done: huggingface/transformers#22487
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Woah 🤯 This definitely sounds do-able! I'll look into it (and hopefully add it quite soon 💪 )
from transformers.js.
Yeah expressiveness/non-roboticness is the main factor for me. And next is inference speed. Size is probably not a big issue for my use cases - anything under 500mb is fine.
from transformers.js.
I've been looking into it more today, but it seems as though HF does not support text-to-speech
in the pipeline function? It also appears that optimum doesn't support text-to-speech
as a task (needed to convert to ONNX format).
Fortunately, the spaces demo you sent above includes some code I can use for testing (https://huggingface.co/spaces/Matthijs/speecht5-tts-demo/blob/main/app.py).
If you want, you could even open up a feature request / PR on the main transformers branch to add this.
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Just came across this:
The audio quality here seems quite good for the model size.
from transformers.js.
@josephrocca Do you have any favorite model or do you use different models for different tasks?
I am very much looking forward to this 🙈
I guess the decision matrix would contain:
- Number of available languages
- Ability to handle emotive text
- Size of the model
- Transformers support
Just tested Bark: huggingface/transformers#23036
sudo.bark.webm
I like the ability to add emotion, just funny that it suddenly changed the voice/gender too 😅
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Related Issues (20)
- loading time
- What does "Error: failed to call OrtRun(). error code = 6." mean? I know it is ONNX related, but how to fix? HOT 6
- Request to this.path failed with status code 403
- GGUF support
- Useful snippets HOT 4
- Unknown model class "new", attempting to construct from base class. HOT 1
- Unknown PostProcessor type: Sequence HOT 6
- Chrome on Android crashes when starting Whisper HOT 3
- TypeError: Cannot read properties of undefined (reading 'create') HOT 5
- Could not read from file: D:\vite-project\node_modules\stream-browserify\web HOT 3
- Any plans to add moondream and build a demo? Xenova/moondream2 HOT 2
- TypeError: Failed to fetch dynamically imported module HOT 4
- Error using Xenova/nanoLLaVA in pipeline HOT 3
- Excessive Memory consumption. HOT 4
- could not find model_q4.onnx_data (v3 PR) HOT 1
- Uncaught (in promise) Error: no available backend found. ERR: [webgpu] TypeError: Failed to fetch dynamically imported module: HOT 7
- Options for the "translation" pipeline when using Xenova/t5-small
- Have considered using wasm technology to implement this library? HOT 1
- Example not working on Chrome/Arc v.124(M1 Mac) HOT 3
- Can you use all transformers models with transformers.js?
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