Instructions to use gdfwj/2016_audio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gdfwj/2016_audio with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B") model = PeftModel.from_pretrained(base_model, "gdfwj/2016_audio") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from gdfwj/2016_audio: direct link, hf CLI and curl.
- Browser
- Download file 74.2 MB
-
https://huggingface.co/gdfwj/2016_audio/resolve/main/optimizer.pt
- Command line
-
hf download hf://gdfwj/2016_audio/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/gdfwj/2016_audio/resolve/main/optimizer.pt
74.2 MB
- Xet hash:
- 52d0ce331d132972018a70997b4965bc7d65d799a91286dd1b33bb546f829ab0
- Size of remote file:
- 74.2 MB
- SHA256:
- 7244ccb3795aaae27314943593828e1d2773ca07359fdeef33aa96cb53e08be2
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