Instructions to use HaoxinranYu/data-filtering-challenge-2025-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HaoxinranYu/data-filtering-challenge-2025-model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("data4elm/Llama-400M-12L") model = PeftModel.from_pretrained(base_model, "HaoxinranYu/data-filtering-challenge-2025-model") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from HaoxinranYu/data-filtering-challenge-2025-model: direct link, hf CLI and curl.
- Browser
- Download file 8.08 kB
-
https://huggingface.co/HaoxinranYu/data-filtering-challenge-2025-model/resolve/main/training_args.bin
- Command line
-
hf download hf://HaoxinranYu/data-filtering-challenge-2025-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/HaoxinranYu/data-filtering-challenge-2025-model/resolve/main/training_args.bin
8.08 kB
- Xet hash:
- 9e24d04734cf0d4b3a15cc3b3672c4670eab1c530ae01bd9c53fcfc6e74bd5ef
- Size of remote file:
- 8.08 kB
- SHA256:
- b1fced3309802ebef8a281b61753eae86e94f3f5b4386f2fea941b11bc587923
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