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:
- d740532e95d9ff2fca83c07b382298764157ba1508a7b4ad6e4e4b9537d51a2f
- Size of remote file:
- 122 MB
- SHA256:
- 81d2b972a889c330ad51c1d32b2aa48012c57286affc4859379505fdb5726b8a
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