Instructions to use BiniyamAjaw/llama-2-7b-finetuned-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BiniyamAjaw/llama-2-7b-finetuned-adapters with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "BiniyamAjaw/llama-2-7b-finetuned-adapters") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f19154e81b046fd9b90be2656047880d31455407cae1b80abd57206017cbffcf
- Size of remote file:
- 4.73 kB
- SHA256:
- 903783fc65ce38deae4896aaca84ecc455e5c2c27038e7075c9a8d39e7214380
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