Text-to-Speech
Transformers
Safetensors
llama
text-generation
tts
emotional-speech
multi-speaker
orpheus
text-generation-inference
Instructions to use alibidaran/Emotional_Orpheus_16bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alibidaran/Emotional_Orpheus_16bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="alibidaran/Emotional_Orpheus_16bit")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("alibidaran/Emotional_Orpheus_16bit") model = AutoModelForCausalLM.from_pretrained("alibidaran/Emotional_Orpheus_16bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K