Classification Models

Pre-trained models for image, text, and tabular classification.

Image Classification

Model	Trained On	Classes	Size	Framework	License	Link
ResNet-50	ImageNet	1000	97 MB	PyTorch/ONNX	BSD	HF
EfficientNet-B0	ImageNet	1000	21 MB	TF/PyTorch	Apache-2.0	HF
MobileNet v3	ImageNet	1000	22 MB	TF/PyTorch	Apache-2.0	TF Hub
ViT-Base	ImageNet-21K	21K	330 MB	PyTorch	Apache-2.0	HF
ConvNeXt-Tiny	ImageNet	1000	110 MB	PyTorch	Apache-2.0	HF

Text Classification

Model	Trained On	Task	Size	Browser?	Link
distilbert-base-uncased-finetuned-sst-2	SST-2	Sentiment (pos/neg)	67 MB	Yes	HF
roberta-base-go_emotions	GoEmotions	28 emotions	125 MB	Yes	HF
finbert	Financial texts	Fin sentiment	125 MB	Yes	HF
distilbert-base-uncased-mnli	MultiNLI	Zero-shot NLI	67 MB	Yes	HF
twitter-roberta-base-sentiment	Twitter	3-class sentiment	125 MB	Yes	HF

Tabular Classification

For tabular data, pre-trained models are less common — but these libraries let you train classifiers in the browser:

Library	Algorithms	Browser?	Link
TensorFlow.js	Neural nets, transfer learning	Yes	tensorflow.org/js
ml5.js	KNN, neural nets	Yes	ml5js.org
Brain.js	Neural nets	Yes	brain.js.org
scikit-learn (via Pyodide)	RF, SVM, XGBoost	Yes (slow)	pyodide.org