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Kashgari is a simple and powerful NLP Transfer learning framework, build a state-of-art model in 5 minutes for named entity recognition (NER), part-of-speech tagging (PoS), and text classification tasks.
Features
- Kashgari's code is straightforward, well documented and tested, which makes it very easy to understand and modify
- Kashgari allows you to apply state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), part-of-speech tagging (PoS) and classification
- Kashgari built-in pre-trained BERT and Word2vec embedding models, which makes it very simple to transfer learning to train your model
- Kashgari provides a simple, fast, and scalable environment for fast experimentation, train your models and experiment with new approaches using different embeddings and model structure
- Kashgari could export model with SavedModel format for tensorflow serving, you could directly deploy it on the cloud
- Documentation available
Project Samples
Categories
Machine LearningLicense
Apache License V2.0Follow Kashgari
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