Simple Annotated implementation of GPT-NeoX in PyTorch

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Text Data & NLPneox
Overview
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Kashgari Overview | Performance | Installation | Documentation | Contributing 🎉 🎉 🎉 We released the 2.0.0 version with TF2 Support. 🎉 🎉 🎉 If you

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Product-Review-Summarizer - Created a product review summarizer which clustered thousands of product reviews and summarized them into a maximum of 500 characters, saving precious time of customers and helping them make a wise buying decision.

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In this workshop we will be exploring NLP state of the art transformers, with SOTA models like T5 and BERT, then build a model using HugginFace transformers framework.

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Pre-Training with Whole Word Masking for Chinese BERT

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102 Dec 19, 2022
SimCSE: Simple Contrastive Learning of Sentence Embeddings

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SentAugment is a data augmentation technique for semi-supervised learning in NLP.

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