Instructions to use voidful/llmcodec-librispeech-abl-sa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use voidful/llmcodec-librispeech-abl-sa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("voidful/llm-codec-abl-sa") model = PeftModel.from_pretrained(base_model, "voidful/llmcodec-librispeech-abl-sa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 720b93ddeef32fe327d35a2094feeeef2499104598f0db4f3eadd541602e90be
- Size of remote file:
- 15.3 MB
- SHA256:
- fdbbfab204782795ee3986e63016e44007fe18b73404bca7f3093ca7064c59c3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.