Instructions to use Incomple/Llama-3.1-8B-Instruct_holistic_50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Incomple/Llama-3.1-8B-Instruct_holistic_50 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "Incomple/Llama-3.1-8B-Instruct_holistic_50") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Incomple/Llama-3.1-8B-Instruct_holistic_50: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/Incomple/Llama-3.1-8B-Instruct_holistic_50/resolve/main/training_args.bin
- Command line
-
hf download hf://Incomple/Llama-3.1-8B-Instruct_holistic_50/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Incomple/Llama-3.1-8B-Instruct_holistic_50/resolve/main/training_args.bin
5.69 kB
- Xet hash:
- 1d0325fc3f1a28bb9d36dabd91d6527bc8e9ff39bd02b4c063449ed00eb4fb83
- Size of remote file:
- 5.69 kB
- SHA256:
- 82a5e997249d440839ddd975109b927a2b14e010c9d665c2398df44e2caa2607
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