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:
- c786e6b67210170da49314d14146d13ede71ed3701f4dc2451f270be0cb6686c
- Size of remote file:
- 122 MB
- SHA256:
- 48032b1613e1bf9d49fb5ec5e525bf6ae77c4e5a9c04c80a38e4ecc049466419
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