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GateNLP
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stance-bertweet-target-oblivious

Text Classification
Transformers
Safetensors
English
roberta
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xet
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="GateNLP/stance-bertweet-target-oblivious")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("GateNLP/stance-bertweet-target-oblivious")
model = AutoModelForSequenceClassification.from_pretrained("GateNLP/stance-bertweet-target-oblivious")
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One of a pair of models intended to classify the stance of a "reply" post with respect to the post to which it is replying. This is a target oblivious model, i.e. it considers only the reply itself, not the original target post. GateNLP/stance-bertweet-target-aware is the complementary "target-aware" model, the two models are used in combination in the GATE Cloud English Stance Classifier.

For background, see this paper.

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Dataset used to train GateNLP/stance-bertweet-target-oblivious

Paper for GateNLP/stance-bertweet-target-oblivious