Text Classification
PEFT
Safetensors
guardrails
content-safety
prompt-injection
jailbreak-detection
legal-advice
tax-advice
decision-model
embeddings
lora
gemma
Instructions to use alinia/Sev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alinia/Sev with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("google/gemma-4-E4B-it") model = PeftModel.from_pretrained(base_model, "alinia/Sev") - Notebooks
- Google Colab
- Kaggle
Download assets/sev_results.png from alinia/Sev: direct link, hf CLI and curl.
- Browser
- Download file 191 kB
-
https://huggingface.co/alinia/Sev/resolve/main/assets/sev_results.png
- Command line
-
hf download hf://alinia/Sev/assets/sev_results.png
-
curl -L -o sev_results.png https://huggingface.co/alinia/Sev/resolve/main/assets/sev_results.png
191 kB

- Xet hash:
- f821ed236f5b60642705d3173f995b75bd59b9a49dc525d0f77ee24f60c206ec
- Size of remote file:
- 191 kB
- SHA256:
- 3f77fb7f7ad90b1f78c161057077e5855149e4608fd28c8b53e53a01e38977d8
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