Shypd.aiThe largest open index of AI toolsBERT-flow is an open-source research tool that provides a TensorFlow implementation of the paper "On the Sentence Embeddings from Pre-trained Language Models." It aims to improve sentence embeddings generated by BERT for various NLP tasks.
Trending
Also listed in
About
BERT-flow offers a TensorFlow implementation of the research paper "On the Sentence Embeddings from Pre-trained Language Models" (EMNLP 2020). This tool is designed for researchers and developers working with natural language processing, specifically focusing on enhancing the quality of sentence embeddings derived from pre-trained BERT models. It provides scripts and configurations for fine-tuning BERT with NLI supervision and for unsupervised learning of flow-based generative models. The repository includes detailed instructions for setting up the environment, downloading pre-trained BERT models and GLUE data, and running experiments for both fine-tuning and flow-based model training and evaluation. BERT-flow is a valuable resource for academic research and experimentation in the field of sentence representation.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
