modelscope/AdaSeq
Alibaba DAMO Academy's open-source library for training and fine-tuning sequence understanding models on NLP tasks.
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AdaSeq is an all-in-one library built on ModelScope and PyTorch that enables researchers and developers to train custom models for sequence understanding tasks. It provides state-of-the-art models, training methods, and toolkits for tasks including named entity recognition (NER), part-of-speech tagging, chunking, entity typing, and relation extraction. The library supports modular registration and assembling of predefined modules for customized model development.
Frequently asked
- What is modelscope/AdaSeq?
- Alibaba DAMO Academy's open-source library for training and fine-tuning sequence understanding models on NLP tasks.
- Is AdaSeq open source?
- Yes — modelscope/AdaSeq is open source, released under the Apache-2.0 license.
- What language is AdaSeq written in?
- modelscope/AdaSeq is primarily written in Python.
- How popular is AdaSeq?
- modelscope/AdaSeq has 454 stars on GitHub.
- Where can I find AdaSeq?
- modelscope/AdaSeq is on GitHub at https://github.com/modelscope/AdaSeq.