The Notorious Big

🚀 HuggingArtists Model: The Notorious B.I.G.

This is a model created with huggingartists. It allows you to generate text based on the lyrics of The Notorious B.I.G.. You can also create your own bot based on your favorite artist using the demo!

🚀 Quick Start

To start using this model, you can use the following code examples for text generation.

💻 Usage Examples

Basic Usage

from transformers import pipeline
generator = pipeline('text-generation',
                     model='huggingartists/the-notorious-big')
generator("I am", num_return_sequences=5)

Advanced Usage

from transformers import AutoTokenizer, AutoModelWithLMHead
  
tokenizer = AutoTokenizer.from_pretrained("huggingartists/the-notorious-big")

model = AutoModelWithLMHead.from_pretrained("huggingartists/the-notorious-big")

✨ Features

• Artist-specific text generation: Generate text based on the lyrics of The Notorious B.I.G..
• Easy to use: Can be used directly with a pipeline or the Transformers library.

📦 Installation

There is no specific installation command provided in the original README. However, you need to have the transformers and datasets libraries installed to use the model. You can install them using pip:

pip install transformers datasets

📚 Documentation

How does it work?

To understand how the model was developed, check the W&B report.

Training data

The model was trained on lyrics from The Notorious B.I.G.. Dataset is available here. And can be used with:

from datasets import load_dataset

dataset = load_dataset("huggingartists/the-notorious-big")

Explore the data, which is tracked with W&B artifacts at every step of the pipeline.

Training procedure

The model is based on a pre-trained GPT-2 which is fine-tuned on The Notorious B.I.G.'s lyrics. Hyperparameters and metrics are recorded in the W&B training run for full transparency and reproducibility. At the end of training, the final model is logged and versioned.

🔧 Technical Details

The model is fine-tuned from a pre - trained GPT - 2 model. The fine - tuning process involves adjusting the model's weights on The Notorious B.I.G.'s lyrics dataset. The hyperparameters and training metrics are tracked using Weights & Biases (W&B) for better transparency and reproducibility.

📄 License

No license information is provided in the original README.

⚠️ Important Note

The model suffers from the same limitations and bias as GPT-2. In addition, the data present in the user's tweets further affects the text generated by the model.

💡 Usage Tip

For more details, visit the project repository.

About

Built by Aleksey Korshuk