Edit model card

Conditional ELI5 Generator

Given a few keywords, it generates an Eli5 question with a corresponding answer.

The model is mainly used for SeemsPhishy to auto generate newsletters for phishing/penetration-testing.

How to use

from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
from torch import tensor

tokenizer = AutoTokenizer.from_pretrained("Madhour/gpt2-eli5")
model = AutoModelForCausalLM.from_pretrained("Madhour/gpt2-eli5")
prompt = <|BOS|> +"I have a question."+ <|SEP|> + "keyword1,keyword2,keyword3" + <|SEP|>
prompt = tensor(tokenizer.encode(prompt)).unsqueeze(0)
text = model.generate(prompt, 
                            do_sample=True,   
                            min_length=50, 
                            max_length=768,
                            top_k=30,                                 
                            top_p=0.7,        
                            temperature=0.9,
                            repetition_penalty=2.0,
                            num_return_sequences=3)
Downloads last month
8
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train Madhour/gpt2-eli5