---
library_name: transformers
datasets:
- ahmed000000000/cybersec
- dzakwan/cybersec
language:
- en
tags:
- conversational
---
# Model Card for Model ID
Works as a cyber assistant.
## Model Details
### Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub.
- **Developed by:** Zardian18
- **Model type:** GPT2
- **Language(s) (NLP):** English
- **Finetuned from model [optional]:** OpenAi GPT2-medium
### Model Sources [optional]
- **Repository:** Github repo
## Uses
Can be used to handle and solve basic cybersec queries.
## Bias, Risks, and Limitations
Currently it is fine-tuned on GPT2, which is good but not comparable to state of the art LLMs and Transformers. Moreover, the dataset is small.
[More Information Needed]
## How to Get Started with the Model
```# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="Zardian/Cyber_assist3.0")
```
```# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Zardian/Cyber_assist3.0")
model = AutoModelForCausalLM.from_pretrained("Zardian/Cyber_assist3.0")
```
## Training Details
### Training Data
Cybersec queries and responses dataset consisting of 12k enteries.
Cybersec dataset with instructions and output consisting of 14k enteries.