đ HuggingArtists Model - Tool
This is a HuggingArtists model based on the band Tool. It can generate text related to Tool's lyrics. With this model, you can create a bot to generate lyrics in the style of Tool.
đ¤ HuggingArtists Model đ¤
Tool
@tool
đ Quick Start
I was made with huggingartists.
Create your own bot based on your favorite artist with the demo!
⨠Features
This model can generate text in the style of Tool's lyrics, allowing you to experience the unique charm of Tool's music language.
đĻ Installation
There is no specific installation step provided in the original document.
đģ Usage Examples
Basic Usage
You can use this model directly with a pipeline for text generation:
from transformers import pipeline
generator = pipeline('text-generation',
model='huggingartists/tool')
generator("I am", num_return_sequences=5)
Advanced Usage
Or with Transformers library:
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("huggingartists/tool")
model = AutoModelWithLMHead.from_pretrained("huggingartists/tool")
đ 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 Tool.
Dataset is available here.
And can be used with:
from datasets import load_dataset
dataset = load_dataset("huggingartists/tool")
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 Tool'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.
Limitations and bias
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.
About
Built by Aleksey Korshuk
For more details, visit the project repository.
đ License
No license information is provided in the original document.
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Transformers