Instructions to use z-uo/glowtts-female-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use z-uo/glowtts-female-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="z-uo/glowtts-female-it")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("z-uo/glowtts-female-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Tonysar commited on
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README.md
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results: []
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datasets:
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- z-uo/female-LJSpeech-italian
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---
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# Coqui Model for TTS
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results: []
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datasets:
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- z-uo/female-LJSpeech-italian
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- LLM360/TxT360
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license: apache-2.0
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metrics:
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- accuracy
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- character
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base_model:
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- nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
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new_version: openai/whisper-large-v3-turbo
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pipeline_tag: text-to-speech
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library_name: adapter-transformers
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---
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# Coqui Model for TTS
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