Instructions to use EYEDOL/ORPHEOUSSEPA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EYEDOL/ORPHEOUSSEPA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/orpheus-3b-0.1-pretrained-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "EYEDOL/ORPHEOUSSEPA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27f42c85f421b77ba0edc5f78d2576b3fe8f98f62e0a88fedf2c0afc283b4b85
- Size of remote file:
- 22.8 MB
- SHA256:
- fc3fecb199b4170636dbfab986d25f628157268d37b861f9cadaca60b1353bce
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