Text-to-Speech
Transformers
Safetensors
Mossi
llama
text-generation
unsloth
text-generation-inference
Instructions to use Minervus00/orpheus-tts-mos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Minervus00/orpheus-tts-mos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Minervus00/orpheus-tts-mos")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Minervus00/orpheus-tts-mos") model = AutoModelForCausalLM.from_pretrained("Minervus00/orpheus-tts-mos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded finetuned model
- Developed by: Minervus00
- License: apache-2.0
- Finetuned from model : unsloth/orpheus-3b-0.1-ft
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
- Downloads last month
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Model tree for Minervus00/orpheus-tts-mos
Base model
meta-llama/Llama-3.2-3B-Instruct Finetuned
canopylabs/orpheus-3b-0.1-pretrained Finetuned
canopylabs/orpheus-3b-0.1-ft Finetuned
unsloth/orpheus-3b-0.1-ft