Instructions to use perachon/p14-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use perachon/p14-model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-1.7B-Base") model = PeftModel.from_pretrained(base_model, "perachon/p14-model") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from perachon/p14-model: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/perachon/p14-model/resolve/main/training_args.bin
- Command line
-
hf download hf://perachon/p14-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/perachon/p14-model/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 7102960f735a4d03676efa597cdfb93325c8e09e5b277ef01aa3777dbc28edd3
- Size of remote file:
- 5.18 kB
- SHA256:
- 7bb058ab1521a855c109a09b0823440a52af70831b6c83e9d68eebe56a95d2a9
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