SMS Spam Classification with BERT

This repository contains the implementation of a Spam Classification model for SMS messages using the BERT (Bidirectional Encoder Representations from Transformers) model for sequence classification. The model is fine-tuned on a dataset of labeled SMS messages to distinguish between spam and non-spam messages.

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Safetensors

Model size

109M params

Tensor type

F32

Inference Examples

Text Classification

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