Instructions to use dolo650/mistral_instruct_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dolo650/mistral_instruct_generation 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, "dolo650/mistral_instruct_generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff93e3bd86ca757d97ccf26338a948000a3087bc3750cce7e3603d8283955655
- Size of remote file:
- 4.73 kB
- SHA256:
- 862d50c4a947d99bc393074f1a678c08f200053e3cd696475f0520eb5443a766
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.