Instructions to use voidful/auv-librispeech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use voidful/auv-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-librispeech") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73da98c35020e775a5c52a4292008eaa28705c5aa1d9f814aefaa487566d9ab5
- Size of remote file:
- 5.84 kB
- SHA256:
- 831221102e365ebe2cb65fe8e76429aa31bbfa1206c9d9cd4d83568fa463c264
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