Instructions to use LightFury9/llama-3.2-1b-test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LightFury9/llama-3.2-1b-test1 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "LightFury9/llama-3.2-1b-test1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from LightFury9/llama-3.2-1b-test1: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/LightFury9/llama-3.2-1b-test1/resolve/main/training_args.bin
- Command line
-
hf download hf://LightFury9/llama-3.2-1b-test1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/LightFury9/llama-3.2-1b-test1/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- bfb56b801a3d2aabe750dcafcb8cb8dfc2b43c5022d6fd061963707d05c86a0f
- Size of remote file:
- 5.37 kB
- SHA256:
- feb55c89fd2d1821ac08e77bc4712c4d284b42693654d0c95df28e41d5380e0f
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