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:
- 0ea5870753982828d405104b7f55590cd86ff538c15793b0c5ac1487250cdcf0
- Size of remote file:
- 122 MB
- SHA256:
- e95edd2c1743cc23f35d808341743da45b7fc659395c53e021dfd8d020beb900
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