We have hosted the application bert4keras in order to run this application in our online workstations with Wine or directly.


Quick description about bert4keras:

Our light reimplementation of bert for keras. A cleaner, lighter version of bert for keras. This is the keras version of the transformer model library re-implemented by the author and is committed to combining transformer and keras with as clean code as possible. The original intention of this project is for the convenience of modification and customization, so it may be updated frequently. Load the pre-trained weights of bert/roberta/albert for fine-tune. Implement the attention mask required by the language model and seq2seq. Pre-training code from zero (supports TPU, multi-GPU, please see pertaining). Compatible with keras, tf.keras.

Features:
  • Compatible with keras, tf.keras
  • Rich examples
  • Load the pre-trained weights of bert/roberta/albert for finetune
  • Implement the attention mask required by the language model and seq2seq
  • Pre-training code from zero
  • Support TPU, multi-GPU, please see pretraining


Programming Language: Python.
Categories:
Large Language Models, Generative AI

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