Text Generation
PEFT
Safetensors
English
lora
qwen2
echo-omega-prime
cybersecurity
threat-analysis
vulnerability
incident-response
security
conversational
Instructions to use Bmcbob76/echo-cyber-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Bmcbob76/echo-cyber-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "Bmcbob76/echo-cyber-adapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d5e010f78db294f492586b8d51e54d2084bd6be546d709e503126b318887ce4
- Size of remote file:
- 20.8 MB
- SHA256:
- b6a9a296d0a2d6b4f9759bd8be4d55eb6a39ae7297de114ef4e9a221fc21cab8
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