Instructions to use truong-xuan-linh/speecht5-vietnamese-assemblevoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use truong-xuan-linh/speecht5-vietnamese-assemblevoice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="truong-xuan-linh/speecht5-vietnamese-assemblevoice")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("truong-xuan-linh/speecht5-vietnamese-assemblevoice") model = AutoModelForTextToSpectrogram.from_pretrained("truong-xuan-linh/speecht5-vietnamese-assemblevoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
8ab7b01
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Parent(s): 3c6f6c8
Upload SpeechT5ForTextToSpeech
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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"_name_or_path": "truong-xuan-linh/speecht5-vietnamese-
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"activation_dropout": 0.1,
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"apply_spec_augment": true,
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"architectures": [
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"_name_or_path": "truong-xuan-linh/speecht5-vietnamese-assemblevoice",
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"activation_dropout": 0.1,
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"apply_spec_augment": true,
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"architectures": [
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model.safetensors
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