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--- |
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license: mit |
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language: |
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- en |
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base_model: |
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- google-bert/bert-base-uncased |
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pipeline_tag: token-classification |
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tags: |
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- code |
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--- |
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## 1. Model Details |
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{'train_samples_per_second': 12.608, 'train_steps_per_second': 1.576, 'train_loss': 0.0037266844895964594, 'epoch': 3.0} |
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## 2. Model Description |
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This model is designed to perform POS tagging for English text. CLAWS (the Constituent Likelihood Automatic Word-tagging System) has been continuously developed since the early 1980s. The latest version of the tagger, CLAWS1, uses the C7 tagset. |
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## ⚙️3. How to Get Started with the Model |
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For examples, please refer to the Python code available at this link (https://mp.weixin.qq.com/s/Nvp1szw-U9YeWEL48ztz4A). |
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## 🤝 4. Model Card Contact |
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Author: Pan Guisheng, a PhD student at the Graduate Institute of Interpretation and Translation of Shanghai International Studies University Email: 895284504@qq.com |
