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:
- 708e6be80d351662d584e3a4aa2d7338009f00a4fed29391c6d127773217373c
- Size of remote file:
- 20.8 MB
- SHA256:
- afcc7cf0e4d70f8595e9c229fec7dceab2c0433c3a8b5b9c06a5c85048e3decc
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