Instructions to use voidful/auv-codec-librispeech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use voidful/auv-codec-librispeech 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-librispeech") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 638c01d0ee3662d82a3be4826af5e7c934848d4ea4d987cf9c6198c43c304455
- Size of remote file:
- 5.84 kB
- SHA256:
- 644bf31b5c43aa745d83fcedfb87d6e2612a4315324e0885aab01bdd10e9b48b
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