Text-to-Speech
Transformers
Safetensors
higgs_multimodal_qwen3
text-generation
speech-generation
voice-agent
expressive-speech
controllable-tts
multilingual-tts
Instructions to use developerjeremylive/higgs-audio-v3-tts-4b-etheroi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use developerjeremylive/higgs-audio-v3-tts-4b-etheroi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="developerjeremylive/higgs-audio-v3-tts-4b-etheroi")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("developerjeremylive/higgs-audio-v3-tts-4b-etheroi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8dc3b49164a491e0e02dee30ea3f89ecba7cf4389b6bfc71216e60337af5d2a3
- Size of remote file:
- 9.31 GB
- SHA256:
- 2f7965264c360b38180885006944aa16bd1de20f4e6cff79f6473bfcf8ae3d5a
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