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:
- fa59333e32b4fc56a70fb940fa9bc69ca6d395f69741b9e0e5b291d613e0aa63
- Size of remote file:
- 1.47 kB
- SHA256:
- 0e38caa4c64d8f2317e2da71d2319b912c3bc4ac525672e4da7e65c5cab42b13
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