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- 步骤1: 从我们的[封神榜模型库](https://huggingface.co/IDEA-CCNL)中选择一个预训练好的中文NLP模型.
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- 步骤2: 通过阅读我们的教程示例，使用[封神框架](https://github.com/IDEA-CCNL/Fengshenbang-LM)调整模型。
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- 步骤3: 在我们的[封神榜单](https://fengshenbang-lm.com/benchmarks) (敬请期待)或者自定义任务中评估模型在下游任务上的表现。
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Remarkable advances in Artificial Intelligence (AI) have produced great models, in particular, pre-trained based foundation models become an emerging paradigm. In contrast to traditional AI models that must be trained on vast datasets for one or a few scenarios, foundation models can be adapted to a wide range of downstream tasks, therefore, limiting the amount of resource demanded to acquire an AI venture off the ground.
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Foundation models, most notably language models, are dominated by the English-language community.
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The Chinese language as the world's largest spoken language (native speakers), however, has no systematic research resources to support it, making the progress in the Chinese language domain lag behind others.
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- 步骤1: 从我们的[封神榜模型库](https://huggingface.co/IDEA-CCNL)中选择一个预训练好的中文NLP模型.
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- 步骤2: 通过阅读我们的教程示例，使用[封神框架](https://github.com/IDEA-CCNL/Fengshenbang-LM)调整模型。
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- 步骤3: 在我们的[封神榜单](https://fengshenbang-lm.com/benchmarks) (敬请期待)或者自定义任务中评估模型在下游任务上的表现。
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Remarkable advances in Artificial Intelligence (AI) have produced great models, in particular, pre-trained based foundation models become an emerging paradigm. In contrast to traditional AI models that must be trained on vast datasets for one or a few scenarios, foundation models can be adapted to a wide range of downstream tasks, therefore, limiting the amount of resource demanded to acquire an AI venture off the ground.
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Foundation models, most notably language models, are dominated by the English-language community.
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The Chinese language as the world's largest spoken language (native speakers), however, has no systematic research resources to support it, making the progress in the Chinese language domain lag behind others.
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