Instructions to use lfhe/task-2-mistralai-Ministral-8B-Instruct-2410 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lfhe/task-2-mistralai-Ministral-8B-Instruct-2410 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Ministral-8B-Instruct-2410") model = PeftModel.from_pretrained(base_model, "lfhe/task-2-mistralai-Ministral-8B-Instruct-2410") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75c288c47f9bb1443b88dd5c10e886f26d0e25e87c0fddf6a0ba3982c25b7b59
- Size of remote file:
- 5.56 kB
- SHA256:
- 6ef38ea5cd5fd14f306555160524d43a802be4385ad1fb53b3b00cc5889a6a00
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.