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 tokenizer.json from gdfwj/2016_audio: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/gdfwj/2016_audio/resolve/main/tokenizer.json
- Command line
-
hf download hf://gdfwj/2016_audio/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/gdfwj/2016_audio/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 78af695675c4fc8453e45a039d33450bec835340edcdac08f9a1af71f046ab0d
- Size of remote file:
- 11.4 MB
- SHA256:
- e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
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