Instructions to use prasadmathangi2233/instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prasadmathangi2233/instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "prasadmathangi2233/instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- edff5d1b8488c02c0714d107eb96f8dbf894b474530eff009152c6c549a30b86
- Size of remote file:
- 340 MB
- SHA256:
- 308e7b6c1cd8870db013e5beb49725300b1ea71c787715ce84abe64f87cc4a99
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.