Instructions to use Harit10/Llama2-config with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Harit10/Llama2-config 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, "Harit10/Llama2-config") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21eefc193f7ea80ca47039c819386f1914b321ffe27f61631e4fd426673fd1c2
- Size of remote file:
- 4.92 kB
- SHA256:
- 52f808fa75a99732d746baf6b8c3851709cf6064491615ca99f475d1ee56a91c
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