ConfliBERT Datasets
Collection
This collection provides access to models fine-tuned on specific datasets, allowing users to see performance variations and applications. • 16 items • Updated
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("eventdata-utd/conflibert-satp-multilabel-classification")
model = AutoModelForTokenClassification.from_pretrained("eventdata-utd/conflibert-satp-multilabel-classification")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="eventdata-utd/conflibert-satp-multilabel-classification")