Text-to-Speech
Transformers
Safetensors
English
llama
text-generation
text-generation-inference
6-bit
exl2
Instructions to use dillonroach/Orpheus-3b-ft-6bpw-exl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dillonroach/Orpheus-3b-ft-6bpw-exl2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="dillonroach/Orpheus-3b-ft-6bpw-exl2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("dillonroach/Orpheus-3b-ft-6bpw-exl2") model = AutoModelForCausalLM.from_pretrained("dillonroach/Orpheus-3b-ft-6bpw-exl2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27f42c85f421b77ba0edc5f78d2576b3fe8f98f62e0a88fedf2c0afc283b4b85
- Size of remote file:
- 22.8 MB
- SHA256:
- fc3fecb199b4170636dbfab986d25f628157268d37b861f9cadaca60b1353bce
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