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Verified signature# 📚 IMDB Sentiment Classifier (Dual-Model) This repository contains **two deep learning models** for sentiment classification of IMDB movie reviews, each trained with a different vocabulary size and number of parameters. --- ## 🧠 Models ### 🔹 Model A - Filename: `sentiment_model_imdb_6.6M.keras` - **Trainable Parameters**: ~6.6 million - **Total Parameters**: ~13.06 million - **Vocabulary Size**: 50,000 tokens - Description: Lightweight and efficient; optimized for speed. ### 🔹 Model B - Filename: `sentiment_model_imdb_34M.keras` - **Trainable Parameters**: ~34 million - **Total Parameters**: ~99.43 million - **Vocabulary Size**: 256,000 tokens - Description: Larger and more expressive; higher accuracy on nuanced reviews. --- ## 🗂 Tokenizers Each model uses its own tokenizer in Keras JSON format: - `tokenizer_50k.json` → used with Model A - `tokenizer_256k.json` → used with Model B --- ## 🔧 Load Models & Tokenizers (from Hugging Face Hub) ```python…33e2d3e -
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Verified signature# 📚 IMDB Sentiment Classifier (Dual-Model) This repository contains **two deep learning models** for sentiment classification of IMDB movie reviews, each trained with a different vocabulary size and number of parameters. --- ## 🧠 Models ### 🔹 Model A - Filename: `sentiment_model_imdb_6.6M.keras` - **Trainable Parameters**: ~6.6 million - **Total Parameters**: ~13.06 million - **Vocabulary Size**: 50,000 tokens - Description: Lightweight and efficient; optimized for speed. ### 🔹 Model B - Filename: `sentiment_model_imdb_34M.keras` - **Trainable Parameters**: ~34 million - **Total Parameters**: ~99.43 million - **Vocabulary Size**: 256,000 tokens - Description: Larger and more expressive; higher accuracy on nuanced reviews. --- ## 🗂 Tokenizers Each model uses its own tokenizer in Keras JSON format: - `tokenizer_50k.json` → used with Model A - `tokenizer_256k.json` → used with Model B --- ## 🔧 Load Models & Tokenizers (from Hugging Face Hub) ```python…7d20039 -
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