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:
- 07e4b6ba80c3f85beead1020f326c0f7bcf7681e7414039831183a8bc581aaea
- Size of remote file:
- 122 MB
- SHA256:
- df2a9df75a397f99b8495b8070ba16cda53268facb0df6bccc880a1604ef64f5
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