Instructions to use voidful/auv-codec-fisher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use voidful/auv-codec-fisher with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Instruct-2507") model = PeftModel.from_pretrained(base_model, "voidful/auv-codec-fisher") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c3d1ab54b85e189b88b591d59e28189fc781b4bbf7960184159579b188c7d59
- Size of remote file:
- 15.3 MB
- SHA256:
- f46e9b7ce99a63860cf5fcb55a4a71e085d4f099228fef583bd3bbdc43a02ef2
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