Instructions to use bboeun/sft2-20k-Delayed2-ref-mistral-fix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bboeun/sft2-20k-Delayed2-ref-mistral-fix with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "bboeun/sft2-20k-Delayed2-ref-mistral-fix") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30f039cd5f0e4dc59a4f66fbdd94f6b4c7c3204b91f8f5118af12293509407dc
- Size of remote file:
- 27.3 MB
- SHA256:
- 6f63ca5abd40af497ce5185f16ac6b897e89f374a9c41bfd265e8eeb2bfa1161
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.