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:
- 8378730a5bf0bebfc89d9f9d1ff6d2023f2463ebc2babfd7ccc2180e871c386e
- Size of remote file:
- 122 MB
- SHA256:
- e8d74143b55b9abf5df370cc71f9f986340aa0b2734c5d6285d61e38045114d0
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