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huggingartists / billie-eilish
Model's Last Updated: July 30 2021
text-generation
Introduction of billie-eilish
Model Details of billie-eilish
I was made with huggingartists .
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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 Billie Eilish.
Dataset is available here . And can be used with:
from datasets import load_dataset
dataset = load_dataset("huggingartists/billie-eilish")
Or with Transformers library:
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("huggingartists/billie-eilish")
model = AutoModelWithLMHead.from_pretrained("huggingartists/billie-eilish")
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 Billie Eilish'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.
How to use
You can use this model directly with a pipeline for text generation:
from transformers import pipeline
generator = pipeline('text-generation',
model='huggingartists/billie-eilish')
generator("I am", num_return_sequences=5)
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.
Runs of huggingartists billie-eilish on huggingface.co
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More Information About billie-eilish huggingface.co Model
Url of billie-eilish
billie-eilish huggingface.co Url
Provider of billie-eilish huggingface.co
Other API from huggingartists
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