Instructions to use Rexe/Deci-Decicoder-1b-lora-coder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rexe/Deci-Decicoder-1b-lora-coder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Deci/DeciCoder-1b") model = PeftModel.from_pretrained(base_model, "Rexe/Deci-Decicoder-1b-lora-coder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e4c04bd8b44b361eff1351a7bc85929999f1ca5ebc59038f1021382343bbf14
- Size of remote file:
- 8.22 MB
- SHA256:
- acfee3b4a62139a84084bd7cb7447fb3839699e837cc82da8ae986218f9d360f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.