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PgsCLAWS1
Petercusin/PgsCLAWS1
PgsCLAWS1 is a token classification model from Petercusin. Use it when you need labels on individual words, such as names. The card lists the license as mit.
{'trainsamplespersecond': 12.608, 'trainstepspersecond': 1.576, 'trainloss': 0.0037266844895964594, 'epoch': 3.0}
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At a glance
- Task
- Token Classification
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- May 19, 2025
- Updated
- May 19, 2025
- SHA
- b51848d5
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Model card
From the Hugging Face model README
1. Model Details
{'train_samples_per_second': 12.608, 'train_steps_per_second': 1.576, 'train_loss': 0.0037266844895964594, 'epoch': 3.0}
2. Model Description
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.
⚙️3. How to Get Started with the Model
For examples, please refer to the Python code available at this link (https://mp.weixin.qq.com/s/Nvp1szw-U9YeWEL48ztz4A).
🤝 4. Model Card Contact
Author: Pan Guisheng, a PhD student at the Graduate Institute of Interpretation and Translation of Shanghai International Studies University Email: [email protected]
- Task
- Token Classification
- Type
- bert
- License
- mit
- Languages
- en
- Created
- May 19, 2025
- Updated
- May 19, 2025