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 training_args.bin from gdfwj/2016_audio: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/gdfwj/2016_audio/resolve/main/training_args.bin
- Command line
-
hf download hf://gdfwj/2016_audio/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gdfwj/2016_audio/resolve/main/training_args.bin
5.69 kB
- Xet hash:
- 134d795c2d639e2344b01b71aa2cf28206ed3be615c4259cc42d4d93466b86f8
- Size of remote file:
- 5.69 kB
- SHA256:
- 131f73227ca9251092a0d6cfb028db03f3cef1331d18ad2cf7f96d85f80f1e14
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