Keywords Title Generator

🚀 Generate Title using Keywords

The Title Generator is an online tool designed to assist you in crafting excellent titles for your content. By inputting specific keywords or content - related information, you can obtain topic suggestions that enhance the appeal of your content. It is developed by https://exnrt.com.

You can also use t5 - small (77M params) available in the mini folder.

🚀 Quick Start

The Title Generator simplifies the process of creating engaging titles. Just provide relevant keywords, and it will offer suitable title suggestions.

💻 Usage Examples

Basic Usage

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
import torch

device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
tokenizer = AutoTokenizer.from_pretrained("Ateeqq/keywords-title-generator")
model = AutoModelForSeq2SeqLM.from_pretrained("Ateeqq/keywords-title-generator").to(device)

def generate_title(keywords):
    input_ids = tokenizer(keywords, return_tensors="pt", padding="longest", truncation=True, max_length=24).input_ids.to(device)
    outputs = model.generate(
        input_ids,
        num_beams=5,
        num_beam_groups=5,
        num_return_sequences=5,
        repetition_penalty=10.0,
        diversity_penalty=3.0,
        no_repeat_ngram_size=2,
        temperature=0.7,
        max_length=24
    )
    return tokenizer.batch_decode(outputs, skip_special_tokens=True)

keywords = 'model, Fine-tuning, Machine Learning'
generate_title(keywords)

Output:

['How to Fine-tune Your Machine Learning Model for Better Performance',
 'Fine-tuning your Machine Learning model with a simple technique',
 'Using fine tuning to fine-tune your machine learning model',
 'Machine Learning: Fine-tuning your model to fit the needs of machine learning',
 'The Art of Fine-Tuning Your Machine Learning Model']

📄 License

This project is licensed under the Apache - 2.0 license.