ccdv-ai/convert_checkpoint_to_lsg
Efficient Attention for Long Sequence Processing
This project helps anyone working with large documents or extensive text data process them more efficiently using pre-trained language models. It takes an existing model (like BERT or RoBERTa) and optimizes it to handle much longer sequences of text as input, making tasks like document summarization, detailed sentiment analysis, or complex question-answering faster and less memory-intensive. Data scientists, NLP engineers, or researchers dealing with lengthy textual content would find this particularly useful.
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Use this if you need to apply popular transformer models to very long texts and are encountering memory limitations or slow processing speeds with standard approaches.
Not ideal if your text sequences are generally short, as the overhead of converting and optimizing might not provide significant benefits.
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Python
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MIT
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Last pushed
Dec 17, 2023
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