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huggingartists / sugar-ray
Model's Last Updated: August 04 2021
text-generation
Introduction of sugar-ray
Model Details of sugar-ray
I was made with huggingartists .
Create your own bot based on your favorite artist with the demo !
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 Sugar Ray.
Dataset is available here . And can be used with:
from datasets import load_dataset
dataset = load_dataset("huggingartists/sugar-ray")
Or with Transformers library:
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("huggingartists/sugar-ray")
model = AutoModelWithLMHead.from_pretrained("huggingartists/sugar-ray")
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 Sugar Ray'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/sugar-ray')
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 sugar-ray on huggingface.co
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More Information About sugar-ray huggingface.co Model
Url of sugar-ray
sugar-ray huggingface.co Url
Provider of sugar-ray huggingface.co
Other API from huggingartists
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