Kashgari is a production-level NLP transfer learning framework built on top of tf.keras that supports text-labeling and text-classification tasks. It includes language embedding support for Word2Vec, BERT, and GPT2 models. The framework provides capabilities for named-entity recognition (NER), sequence labeling, and supports standard NLP workflows like seq2seq.