Text Generation
PEFT
Safetensors
English
bash
code-generation
function-calling
nl2bash
lora
conversational
Instructions to use potteryrage/bashgemma-270m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use potteryrage/bashgemma-270m with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/functiongemma-270m-it") model = PeftModel.from_pretrained(base_model, "potteryrage/bashgemma-270m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c981fa756792bbc4470802571bf70fd5b994dcffdb917fef7482b893e085649
- Size of remote file:
- 1.47 kB
- SHA256:
- fd63ce4121e70595b83735ebc6fd706814d39070995e83c07c84d3feff859834
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.