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
Download checkpoint-50/rng_state.pth from potteryrage/bashgemma-270m: direct link, hf CLI and curl.
- Browser
- Download file 14.4 kB
-
https://huggingface.co/potteryrage/bashgemma-270m/resolve/main/checkpoint-50/rng_state.pth
- Command line
-
hf download hf://potteryrage/bashgemma-270m/checkpoint-50/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/potteryrage/bashgemma-270m/resolve/main/checkpoint-50/rng_state.pth
14.4 kB
- Xet hash:
- cfac9bdc5afac3d6cee0674409f8f39d4c5fdaada969849170dd451d8ab63b56
- Size of remote file:
- 14.4 kB
- SHA256:
- eb03eac9b58e52273c3aa5727841719fd6c82afc9062bbaf8eb6f842de779278
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