# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("PleIAs/Bibstyle-Detector")
model = AutoModelForSequenceClassification.from_pretrained("PleIAs/Bibstyle-Detector")Quick Links
Bibstyle-Detector is small language model specialized for the detection of bibliographic style in bibliographic list.
Given a bibliographic entry, Bibstyle-Detector will estimate the most likely style among the 125 most popular styles on Zotero CSL repository.
Like all models published among PleIAs Bad Data Toolbox, Bibstyle-Detector has been volontarily trained on challenging document with a variety of formatting issues. Most of the training corpus comes from the Science-Pile (to be released).
Example
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PleIAs/Bibstyle-Detector")