Instructions to use iamshnoo/alpaca-2-7b-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use iamshnoo/alpaca-2-7b-english 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, "iamshnoo/alpaca-2-7b-english") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82105f22e704aa7195d57bde1407a7f9cec945963069ed445056027725530026
- Size of remote file:
- 134 MB
- SHA256:
- 6fdf9ec7a8ae3bf626c59a2e1b03add1a6f875d4c72d752bbba1aaf885daa4c0
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