# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Nithiwat/bert-base_claimbuster")
model = AutoModelForSequenceClassification.from_pretrained("Nithiwat/bert-base_claimbuster")Quick Links
This is the BERT model finetuned on the ClaimBuster dataset. It is used for claim detection and has an accuracy of 82%.
- Downloads last month
- 353
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Nithiwat/bert-base_claimbuster")