# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("sschellhammer/SciTweets_SciBert")
model = AutoModelForSequenceClassification.from_pretrained("sschellhammer/SciTweets_SciBert", device_map="auto")Quick Links
This SciBert-based multi-label classifier, trained as part of the work "SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse", distinguishes three different forms of science-relatedness for Tweets. See details at https://github.com/AI-4-Sci/SciTweets .
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sschellhammer/SciTweets_SciBert")