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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.

Model Sources [optional]

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

from transformers import pipeline

pipe = pipeline("text-generation", model="Zardian/Cyber_assist3.0")
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.

Downloads last month
70
Safetensors
Model size
355M params
Tensor type
F32
·
Inference API
This model can be loaded on Inference API (serverless).

Datasets used to train Zardian/Cyber_assist3.0

Space using Zardian/Cyber_assist3.0 1