Instructions to use JKilpatrick/llama2_instruct_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JKilpatrick/llama2_instruct_generation 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, "JKilpatrick/llama2_instruct_generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6495b111f3fef32ba8abc848ab60e3297d1bd6d1ed64def6056e88949e3d9ab2
- Size of remote file:
- 4.73 kB
- SHA256:
- ca58adebd56dc05d9dc2b0a786718ccc673efc464d76b453a9a46ffbcd7ea97c
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