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:
- a94cdda9e17954a144f67936991e4678181c021ec893be662bd3344ccdbef1b5
- Size of remote file:
- 5.5 kB
- SHA256:
- 74ad33e2d2ddd98e3463d82616855f4f40b33c9db93b8e0f11e94266790fc32e
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