Instructions to use mia-llm/Llama-2-7b-hf-LoRA-wikitext2-raw-MIA-ArXiv2311.06062-settings-r32-dropout0.05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mia-llm/Llama-2-7b-hf-LoRA-wikitext2-raw-MIA-ArXiv2311.06062-settings-r32-dropout0.05 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, "mia-llm/Llama-2-7b-hf-LoRA-wikitext2-raw-MIA-ArXiv2311.06062-settings-r32-dropout0.05") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b79ad44e21c8e8421350abb2f8d1462be9f585c5302dd1811767a3f408a19635
- Size of remote file:
- 5.37 kB
- SHA256:
- 74895195f52799cb4b367d00b4d32efdbf28d7d8df31ca68b9fea853fe7beb99
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