Instructions to use ai-maker-space/mistral7b_instruct_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ai-maker-space/mistral7b_instruct_generation with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "ai-maker-space/mistral7b_instruct_generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2efd2a9c7bcec6643d92da6351c41c5007001430eddb221dd72473e8bf15651
- Size of remote file:
- 4.73 kB
- SHA256:
- 943c8eefe65744c2b26d40a289c48373f8146c11f0c5087dbd0dc1a74702ec7d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.