microsoft/AzureML-BERT
End-to-end recipes for pretraining and fine-tuning BERT language models using Azure Machine Learning and PyTorch.
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This repository contains Jupyter Notebook recipes that enable developers to pretrain BERT language representation models from scratch on a corpus, as well as fine-tune existing BERT models for specialized NLP tasks like text classification, named entity recognition, and question answering. The notebooks leverage Azure Machine Learning service as the training infrastructure and use PyTorch as the deep learning framework.
Frequently asked
- What is microsoft/AzureML-BERT?
- End-to-end recipes for pretraining and fine-tuning BERT language models using Azure Machine Learning and PyTorch.
- Is AzureML-BERT open source?
- Yes — microsoft/AzureML-BERT is open source, released under the MIT license.
- What language is AzureML-BERT written in?
- microsoft/AzureML-BERT is primarily written in Jupyter Notebook.
- How popular is AzureML-BERT?
- microsoft/AzureML-BERT has 402 stars on GitHub.
- Where can I find AzureML-BERT?
- microsoft/AzureML-BERT is on GitHub at https://github.com/microsoft/AzureML-BERT.