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bert

CeleBERTy Small

This is a 22.7M parameter BERT encoder-only model trained on Wikipedia articles labeled as celebrity related.

This is a domain-specialized small model that often performs as good as models 10-100x larger. It demonstrates that narrowing down a model to a small domain requires less overall parameters than models generalized for all problems.

Usage

celeberty-small can be loaded using Hugging Face Transformers as follows.

from transformers import AutoModel

model = AutoModel.from_pretrained("neuml/celeberty-small")

The model is intended to be further fine-tuned for a specific task such as Text Classification, Entity Extraction, Sentence Embeddings and so on.

More Information

Read more about the model in this article.

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22.7M params
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