Instructions to use espnet/fastspeech2_conformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use espnet/fastspeech2_conformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="espnet/fastspeech2_conformer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTextToSpectrogram tokenizer = AutoTokenizer.from_pretrained("espnet/fastspeech2_conformer") model = AutoModelForTextToSpectrogram.from_pretrained("espnet/fastspeech2_conformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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library_name: transformers
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---
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# FastSpeech2Conformer
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## Model Card Contact
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language:
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library_name: transformers
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pipeline_tag: text-to-audio
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tags:
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- audio
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---
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# FastSpeech2Conformer
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## Model Card Contact
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[More Information Needed]
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