semvec/pypi-packages huggingface dataset:
deep-ner 0.0.6
Deep-NER: named entity recognizer based on ELMo or BERT as embeddings and CRF as final classifier
License: Apache License Version 2.0
Keywords: elmo,bert,ner,crf,nlp,tensorflow,scikit-learn

Deep-NER
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Named entity recognizer based on ELMo or BERT as feature extractor and
CRF as final classifier.

The goal of this project is creation of a simple Python package with
the sklearn-like interface for solution of different named entity 
recognition tasks in case number of labeled texts is very small (not 
greater than several thousands). Special neural network language models 
named as ELMo (Embeddings from Language Models) and BERT (Bidirectional
Encoder Representations from Transformers) ensure this possibility,
because these language model were pre-trained on large text corpora and
so they can select deep semantic features from text.