Instructions to use dhmeltzer/Llama-2-13b-hf-eli5-cleaned-1024_qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dhmeltzer/Llama-2-13b-hf-eli5-cleaned-1024_qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-hf") model = PeftModel.from_pretrained(base_model, "dhmeltzer/Llama-2-13b-hf-eli5-cleaned-1024_qlora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 136be94fd2ebcbaea5b50b0893fa6b424c4b8f11b6cd1ac33d769d35fd8b44c3
- Size of remote file:
- 1 GB
- SHA256:
- 9aca5d7f9c58e5d2d8db440a42c2f87d4809698d25832f503ebef71bd89445de
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