Text Generation
PEFT
Safetensors
Turkish
English
cybersecurity
soc
incident-response
incident-correlation
mitre-attack
qlora
retrieval-augmented-generation
model-security
concept-drift
multi-tenant
human-in-the-loop
turkish
non-commercial
conversational
Instructions to use Werea-co/Werea-NanoSOC-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Werea-co/Werea-NanoSOC-8B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained(".cache/huggingface/hub/models--fdtn-ai--Foundation-Sec-1.1-8B-Instruct/snapshots/243b27655e01c87cc04fdb88632be7cd9e55ac1f") model = PeftModel.from_pretrained(base_model, "Werea-co/Werea-NanoSOC-8B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a320d97408e4871dcf8857fe050641551610a028badace64039d8415c3c3d193
- Size of remote file:
- 17.2 MB
- SHA256:
- 0dccded9ecdb2ff462d31b2f9f65ed51d71ea671d23b4f7303331af53ec3c0f6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.