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-5000/training_args.bin from potteryrage/bashgemma-270m: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/potteryrage/bashgemma-270m/resolve/main/checkpoint-5000/training_args.bin
- Command line
-
hf download hf://potteryrage/bashgemma-270m/checkpoint-5000/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/potteryrage/bashgemma-270m/resolve/main/checkpoint-5000/training_args.bin
5.78 kB
- Xet hash:
- 5ac69aeb3c09bfabe7dc3cd69687795ef6187c0947c4d26669a75050ac5458cb
- Size of remote file:
- 5.78 kB
- SHA256:
- 629a35960f565450f5c9e65334fb9c14eb136182b8af4bc22c885bdde32de5f3
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