Model Details
Full Model IDspeechbrain/tts-hifigan-libritts-22050Hz
Pipeline / Tasktext-to-speech
Libraryspeechbrain
Downloads (all-time)211.6K
Likes6
Last Modified2/25/2024
Author / Orgspeechbrain
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("text-to-speech", model="speechbrain/tts-hifigan-libritts-22050Hz")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
speechbrainVocoderHiFIGANtext-to-speechTTSspeech-synthesisendataset:LibriTTSarxiv:2010.05646license:apache-2.0region:us
More text-to-speech Models
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: text-to-speech
This model is designed for the text-to-speech task. Explore more models for this use case.
All text-to-speech Models →📊 Popularity
⬇ Downloads211.6K
❤️ Community Likes6
🛠️ Requirements
- →Install: pip install speechbrain
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.