Update README with inference config
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README.md
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language:
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pipeline_tag: text-generation
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inference: true
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---
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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# Load merged model directly (no PEFT needed!)
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model = AutoModelForCausalLM.from_pretrained(
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"sainikhiljuluri/DeepSeek-R1-Cybersecurity-8B-Merged",
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torch_dtype=torch.bfloat16,
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device_map="auto"
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tokenizer = AutoTokenizer.from_pretrained("sainikhiljuluri/DeepSeek-R1-Cybersecurity-8B-Merged")
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prompt = "Explain how to detect SQL injection attacks in web server logs."
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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outputs = model.generate(**inputs, max_new_tokens=256, temperature=0.7)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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## Inference API
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This model is deployed on HuggingFace Inference Endpoints.
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```python
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```
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## Cybersecurity
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- 🔍 Threat analysis and classification
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- 🚨 Security alert triage
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- 📋 Incident response guidance
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- 🦠 Malware analysis
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- 📊 MITRE ATT&CK mapping
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language:
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- en
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pipeline_tag: text-generation
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library_name: transformers
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inference: true
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---
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## Usage
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### Direct Loading
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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model = AutoModelForCausalLM.from_pretrained(
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"sainikhiljuluri/DeepSeek-R1-Cybersecurity-8B-Merged",
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torch_dtype=torch.bfloat16,
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device_map="auto",
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trust_remote_code=True
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)
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tokenizer = AutoTokenizer.from_pretrained(
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"sainikhiljuluri/DeepSeek-R1-Cybersecurity-8B-Merged",
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trust_remote_code=True
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)
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prompt = "Explain how to detect SQL injection attacks."
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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outputs = model.generate(**inputs, max_new_tokens=256, temperature=0.7)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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### Via Inference API
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```python
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import requests
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API_URL = "https://api-inference.huggingface.co/models/sainikhiljuluri/DeepSeek-R1-Cybersecurity-8B-Merged"
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headers = {"Authorization": "Bearer YOUR_HF_TOKEN"}
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response = requests.post(API_URL, headers=headers, json={
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"inputs": "What are the indicators of a ransomware attack?",
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"parameters": {"max_new_tokens": 256, "temperature": 0.7}
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})
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print(response.json())
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```
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## Cybersecurity Capabilities
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- 🔍 Threat analysis and classification
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- 🚨 Security alert triage
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- 📋 Incident response guidance
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- 🦠 Malware analysis
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- 📊 MITRE ATT&CK mapping
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- 🔐 Vulnerability assessment
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