There are a handful of frameworks to implement basic NLP.
And what about implementing models like BERT or GPT-3? A framework that does not require monumental development efforts.
@allen_ai created one for you. It's AllenNLP.⬇️
And what about implementing models like BERT or GPT-3? A framework that does not require monumental development efforts.
@allen_ai created one for you. It's AllenNLP.⬇️
AllenNLP provides a simple & modular programming model for:
1. Applying advanced deep learning techniques to NLP research
2. Streamlining the creation of NLP experiments
3. Abstracting the core building blocks of NLP models
2/5
1. Applying advanced deep learning techniques to NLP research
2. Streamlining the creation of NLP experiments
3. Abstracting the core building blocks of NLP models
2/5
Portfolio of NLP tasks under AllenNLP:
- Text Generation
- Language Modeling
- Multiple Choice
- Pair Classification
- Structured Prediction
- Sequence Tagging
- Text + vision
3/5
- Text Generation
- Language Modeling
- Multiple Choice
- Pair Classification
- Structured Prediction
- Sequence Tagging
- Text + vision
3/5
It's built on @PyTorch and has quickly become a favorite of the NLP research and development community.
Data scientists can orchestrate the interactions between the main components of an NLP workflow using configuration files instead of code.
4/5
Data scientists can orchestrate the interactions between the main components of an NLP workflow using configuration files instead of code.
4/5
AllenNLP is free and open-sourced.
To deep dive into its core capabilities explained in a 5 min read, we recommend you to read this Edge:
thesequence.substack.com/p/edge104
Thank you for being with us!
5/5
To deep dive into its core capabilities explained in a 5 min read, we recommend you to read this Edge:
thesequence.substack.com/p/edge104
Thank you for being with us!
5/5
• • •
Missing some Tweet in this thread? You can try to
force a refresh
