tensorflow-nlp-tutorial
tensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT, LLM과 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.
Follow tutorials on natural language processing tasks using TensorFlow, covering various modern models and techniques.
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Free · no card · unsubscribe anytimetensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT, LLM과 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.
tensorflow-nlp-tutorial has 577 stars on GitHub. It has been forked 286 times. tensorflow-nlp-tutorial is written mainly in Jupyter Notebook. It has been in active development since 2021. Its main topics are bert, bert-ner, dpo, huggingface.
What is tensorflow-nlp-tutorial?
tensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT, LLM과 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.
Is tensorflow-nlp-tutorial open source?
tensorflow-nlp-tutorial is an open-source project.
Is tensorflow-nlp-tutorial free?
Yes. tensorflow-nlp-tutorial is free and open source — you can use, modify and self-host it.
What language is tensorflow-nlp-tutorial written in?
tensorflow-nlp-tutorial is written mainly in Jupyter Notebook.
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