HunFlair2 model for ENHANCER
HunFlair (biomedical flair) for enhancer entity:
- pre-trained language model: michiyasunaga/BioLinkBERT-base
- fine-tuned on RegEl corpus for
Enhancer
entity type
Predicts 1 tag:
tag | meaning |
---|---|
Enhancer | DNA enhancer region |
Info
Demo: How to use in Flair
Requires:
- Flair>=0.14.0 (
pip install flair
orpip install git+https://github.com/flairNLP/flair.git
)
from flair.data import Sentence
from flair.nn import Classifier
from flair.tokenization import SciSpacyTokenizer
text = "An upstream activator of the mitogen-activated protein (MAP) kinase pathways was used to isolate an enhancer element located between -89 and -50 bp in PAI-1 promoter that was activated by MEKK-1."
sentence = Sentence(text, use_tokenizer=SciSpacyTokenizer())
tagger = Classifier.load("regel-corpus/hunflair2-regel-enhancer")
tagger.predict(sentence)
print('The following NER tags are found:')
# iterate over entities and print
for entity in sentence.get_spans('ner'):
print(entity)
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