Instructions to use Ctc8/llama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ctc8/llama with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "Ctc8/llama") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31bed4b55c2c91580c73470ec8d6f2d089c86511af0896f62d3e90cc5d199929
- Size of remote file:
- 169 MB
- SHA256:
- baea78f1c349bbe9c89c3895e32d1fa73ae89629a3eacd74c851870be1ae3d34
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