Instructions to use dudleymax/ludwig-llama2python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dudleymax/ludwig-llama2python with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "dudleymax/ludwig-llama2python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81e98c84693a26d0aa6003cae5f543efa607bc90879e7b3ed77d326f4321e851
- Size of remote file:
- 16.8 MB
- SHA256:
- d2c65add650c2bb20c601db87a8b79262ff3433a556d5b7348a8c2e1f3bb2e8a
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