from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model_id = "vanshkamra12/CyberSecurity-Model"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype=torch.float16,
device_map="auto"
)
prompt = """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
### Instruction:
Analyze the following vulnerability data and produce a structured threat intelligence report.
### Input:
CVE ID: CVE-2024-21762
Description: A out-of-bound write vulnerability in FortiOS SSL VPN allows a remote unauthenticated attacker to execute arbitrary code or commands via specially crafted HTTP requests.
CVSS Score: 9.8 CRITICAL
Vendor: Fortinet
### Response:
"""
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=1000, temperature=0.7)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))