Instructions to use dada22231/2acfa2de-95fb-4378-9c6f-e2d8c8f2997b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/2acfa2de-95fb-4378-9c6f-e2d8c8f2997b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-v0.2") model = PeftModel.from_pretrained(base_model, "dada22231/2acfa2de-95fb-4378-9c6f-e2d8c8f2997b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f76dcd585ef2ced55138c5083828b80e4b9226e8400993bbde71f177116fb1e
- Size of remote file:
- 15 kB
- SHA256:
- 86fd32521dbcd06364df92d6e81052daa5a9d4a7c168bea1693d09d66e28d02d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.