Instructions to use rudih/Llama-2-13b-chat-hf-fine-tuned-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rudih/Llama-2-13b-chat-hf-fine-tuned-adapters with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-chat-hf") model = PeftModel.from_pretrained(base_model, "rudih/Llama-2-13b-chat-hf-fine-tuned-adapters") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b8934ad4002e1faae437aba23d7ae976bb685a11e43bff07f20e1cf7975fd22
- Size of remote file:
- 52.5 MB
- SHA256:
- d353a617f8255cf37a3864978fdc9fb00557832631eee1cdd71008cde23a754a
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