Instructions to use Baidicoot/run-llama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Baidicoot/run-llama with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Meta-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "Baidicoot/run-llama") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Baidicoot/run-llama: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Baidicoot/run-llama/resolve/main/training_args.bin
- Command line
-
hf download hf://Baidicoot/run-llama/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Baidicoot/run-llama/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 5fa826b58692a719a2849bf70865511601a83912c33a6ac3ba87edeff997f564
- Size of remote file:
- 5.3 kB
- SHA256:
- 2e660ffd65279332c2b1060afcaa8d67bae21225fc2cb34b1bfd686c27c09f52
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