Text-to-Speech
Transformers
Safetensors
English
llama
text-generation
unsloth
tts
orpheus
text-generation-inference
Instructions to use innovationm-ai/orpheus-tts-3b-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use innovationm-ai/orpheus-tts-3b-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="innovationm-ai/orpheus-tts-3b-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("innovationm-ai/orpheus-tts-3b-finetuned") model = AutoModelForCausalLM.from_pretrained("innovationm-ai/orpheus-tts-3b-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- d18476c895a2625141ec9080f39b6c918fadfc843189e05dbef4338b16f53876
- Size of remote file:
- 340 kB
- SHA256:
- 30753345aaa83457769911930d53d682cc1114be4ce7c052bc4e777bf3c49cd1
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