Instructions to use dfurman/Llama-2-13B-Instruct-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dfurman/Llama-2-13B-Instruct-v0.2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-hf") model = PeftModel.from_pretrained(base_model, "dfurman/Llama-2-13B-Instruct-v0.2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c2cd5dccf6435818dcedaeece8654fa3c434e4470f28ccc8f60ac392dff3f2e
- Size of remote file:
- 420 MB
- SHA256:
- 9224b8ec5212499b351f7fbeacd43080d2ba8e1a39bdfd6f90686ded9310d14b
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