Instructions to use vmpsergio/380acb2c-500a-4b09-b01c-c87808f2853a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vmpsergio/380acb2c-500a-4b09-b01c-c87808f2853a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-llama-2-7b") model = PeftModel.from_pretrained(base_model, "vmpsergio/380acb2c-500a-4b09-b01c-c87808f2853a") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
53b7bd3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3c7dba9667cc21c171d8e73ffb7e9471a8a3499ab1fc6325bee66ce2ebc83e1e
size 844282770
|