ConfliBERT Tasks and Applications
Collection
Explore how ConfliBERT is applied across different NLP tasks such as Named Entity Recognition, Classification, and Multi-label Classification. • 4 items • Updated
How to use eventdata-utd/conflibert-binary-classification with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="eventdata-utd/conflibert-binary-classification") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("eventdata-utd/conflibert-binary-classification")
model = AutoModelForSequenceClassification.from_pretrained("eventdata-utd/conflibert-binary-classification")Conflibert-binary-classification is built upon the foundational Conflibert model. Through rigorous fine-tuning, this enhanced model demonstrates superior capabilities in classifying between conflict and non-conflict events.