Instructions to use canopylabs/orpheus-3b-0.1-pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use canopylabs/orpheus-3b-0.1-pretrained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="canopylabs/orpheus-3b-0.1-pretrained")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("canopylabs/orpheus-3b-0.1-pretrained") model = AutoModelForCausalLM.from_pretrained("canopylabs/orpheus-3b-0.1-pretrained") - Inference
- Notebooks
- Google Colab
- Kaggle
## π¨ License Conflict: Apache-2.0 License is Incompatible with LLaMA 3.2 License
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#4 opened 12 months ago
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xixi126
add AIBOM
#3 opened 12 months ago
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RiccardoDav
Serious issue with licenses
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#2 opened about 1 year ago
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JLouisBiz
New Language
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#1 opened about 1 year ago
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WasamiKirua