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Author:
Mehrdad ALMASI, Demival VASQUES FILHO
Summary:
A library that leverages the pre-trained microsoft_MiniLM-L12-H384-uncased model for efficient and lightweight text classification tasks, with a focus on English. The library offers easy-to-use fine-tuning capabilities, making it suitable for rapid deployment in resource-constrained environments.
Latest version:
0.1.5
Required dependencies:
numpy
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pandas
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scikit-learn
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tokenizers
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torch
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transformers
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