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sportsbert-small
NeuML/sportsbert-small
sportsbert-small is a machine learning model from NeuML. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This is a 22.7M parameter BERT encoder-only model trained on Wikipedia articles labeled as sports related.
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22.7M
91 MB on disk
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.safetensors91 MB · 99%
At a glance
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 26, 2026
- Updated
- Jun 26, 2026
- SHA
- d3b8afe3
Model card
From the Hugging Face model README
SportsBERT Small
This is a 22.7M parameter BERT encoder-only model trained on Wikipedia articles labeled as sports 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
sportsbert-small can be loaded using Hugging Face Transformers as follows.
from transformers import AutoModel
model = AutoModel.from_pretrained("neuml/sportsbert-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.
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Jun 26, 2026
- Updated
- Jun 26, 2026