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CodeClassifier-v1-Tiny

Text Classification
PyTorch
Safetensors
🇪🇺 Region: EU
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@@ -17,7 +17,7 @@ This model is designed to be able to run on CPU, but optimally runs on GPUs.
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  # Architecture
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- The `CodeClassifier-v-Tiny` model employs a neural network architecture optimized for text classification tasks, specifically for classifying programming languages from code snippets. This model includes:
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  - **Bidirectional LSTM Feature Extractor**: This bidirectional LSTM layer processes input embeddings, effectively capturing contextual relationships in both forward and reverse directions within the code snippets.
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  # Architecture
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+ The `CodeClassifier-v1-Tiny` model employs a neural network architecture optimized for text classification tasks, specifically for classifying programming languages from code snippets. This model includes:
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  - **Bidirectional LSTM Feature Extractor**: This bidirectional LSTM layer processes input embeddings, effectively capturing contextual relationships in both forward and reverse directions within the code snippets.
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