EsterHlav / Quantitative-Comparison-NLP-Embeddings-from-GloVe-to-RoBERTa
View external linksLinks

Fair quantitative comparison of NLP embeddings from GloVe to RoBERTa with Sequential Bayesian Optimization fine-tuning using Flair and SentEval. Extension of HyperOpt library to log_b priors.
18Sep 4, 2019Updated 6 years ago

Alternatives and similar repositories for Quantitative-Comparison-NLP-Embeddings-from-GloVe-to-RoBERTa

Users that are interested in Quantitative-Comparison-NLP-Embeddings-from-GloVe-to-RoBERTa are comparing it to the libraries listed below

Sorting:

Are these results useful?