CLUEbenchmark/LightLM
高性能小模型测评 Shared Tasks in NLPCC 2020. Task 1 - Light Pre-Training Chinese Language Model for NLP Task
This project helps natural language processing (NLP) researchers and engineers develop and evaluate efficient Chinese language models. It provides a platform to submit models, which are then tested on various downstream tasks like named entity recognition, reading comprehension, and keyword identification. The platform takes your pre-trained Chinese language model and outputs a performance score based on accuracy, inference time, and model size.
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Use this if you are an NLP researcher or engineer focused on creating highly efficient, compact Chinese language models for real-world applications.
Not ideal if you are a business user or an individual looking for an out-of-the-box solution for Chinese text analysis without deep NLP expertise.
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Python
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Last pushed
Jun 01, 2020
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