PEFT
Safetensors
Transformers
gemma-3
lora
sequence-classification
cybersecurity
shell-commands
linux
Instructions to use xprilion/gemma-3-4b-it-shell-risk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xprilion/gemma-3-4b-it-shell-risk with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("models/gemma-3-4b-it") model = PeftModel.from_pretrained(base_model, "xprilion/gemma-3-4b-it-shell-risk") - Transformers
How to use xprilion/gemma-3-4b-it-shell-risk with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("xprilion/gemma-3-4b-it-shell-risk", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23db2e055d80cccf03598ded35b611c37cce36e1bc0bf93b87209e2a480a073d
- Size of remote file:
- 33.4 MB
- SHA256:
- daab2354f8a74e70d70b4d1f804939b68a8c9624dd06cb7858e52dd8970e9726
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