Instructions to use Infernaught/llama-2-7b-viggo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Infernaught/llama-2-7b-viggo 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, "Infernaught/llama-2-7b-viggo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eee684719d232efc98a72266e5bdd516f36ad99b17a9285b01862a6a55af2d29
- Size of remote file:
- 16.8 MB
- SHA256:
- df11970eefcd3efd392f985e3d1b01bf66c7592bed6a5aed4b9cc8a5af72ec9f
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