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:
- 06e38dd376a70857530dc0ab7829362d14fe01e8bdbf6b01b04669c953799bad
- Size of remote file:
- 11.4 MB
- SHA256:
- eb883de2de5adc5113f1f02b54830a0ea7cd6ef191cde65c41aceb3737d4d1c1
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