Instructions to use sshibinthomass/mistral_instruct_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sshibinthomass/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, "sshibinthomass/mistral_instruct_generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d963815605713cd16201e1043eddfbf8cbf0890e7af383fe8c3f5ef7657035bd
- Size of remote file:
- 5.5 kB
- SHA256:
- 9d7647bf697ebf9847c9a5412bb246b7d3f972a1454e0f865529cd5eb04bb0c3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.