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stats-nerd
VinayNR/stats-nerd
stats-nerd is a token classification model from VinayNR. Use it when you need labels on individual words, such as names. It is set up for flair.
This model is used to identify statistical named entities in large text. Statistical Named Entities are entities that indicate the presence of a statistical claim (such as a hypothesis of an experiment) along with the…
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.py4.3 KB · 40%
At a glance
- Task
- Token Classification
- Library
- flair
- Access
- Public
- Created
- Apr 20, 2023
- Updated
- Jun 15, 2023
- SHA
- 34f28b44
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Datasets
Model card
From the Hugging Face model README
Overview
This model is used to identify statistical named entities in large text. Statistical Named Entities are entities that indicate the presence of a statistical claim (such as a hypothesis of an experiment) along with the type of test and the confidence value.
Use this model in your repo to categorize a text document to find claims, test statistics and probability scores. The model uses Flair NLP from ground-up to develop a Stats NER for researchers.
Usage
from flair.models import SequenceTagger
tagger = SequenceTagger.load("VinayNR/stats-ner")
sentence = Sentence(<your_string>, use_tokenizer=True)
tagger.predict(sentence)
- Task
- Token Classification
- Library
- flair
- Languages
- en
- Created
- Apr 20, 2023
- Updated
- Jun 15, 2023