How to use this model directly from the
from transformers import AutoTokenizer, AutoModelWithLMHead tokenizer = AutoTokenizer.from_pretrained("huggingtweets/julien_c") model = AutoModelWithLMHead.from_pretrained("huggingtweets/julien_c")
I was made with huggingtweets.
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The model uses the following pipeline.
To understand how the model was developed, check the W&B report.
The model was trained on @julien_c's tweets.
The model is based on a pre-trained GPT-2 which is fine-tuned on @julien_c's tweets.
Hyperparameters and metrics are recorded in the W&B training run for full transparency and reproducibility.
You can use this model directly with a pipeline for text generation:
from transformers import pipeline generator = pipeline('text-generation', model='huggingtweets/julien_c') generator("My dream is", max_length=50, num_return_sequences=5)
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.
Built by Boris Dayma
For more details, visit the project repository.