ThradBertConversationClassifier

Personal copy of a BERT model for conversation classification with hard labels I developed at Thrad.ai. Publication, Publication GitHub, Dev. GitHub

Model Details

• Base Architecture: DistilBERT
• Task: Multi-class conversation intent classification

Usage

from transformers import AutoTokenizer, AutoModelForSequenceClassification

model = AutoModelForSequenceClassification.from_pretrained("ScottBiggs2/ThradBertConversationClassifier")
tokenizer = AutoTokenizer.from_pretrained("ScottBiggs2/ThradBertConversationClassifier")

# Example inference
text = "Your conversation text here"
inputs = tokenizer(text, return_tensors="pt", truncation=True, max_length=512)
outputs = model(**inputs)
predictions = outputs.logits.softmax(dim=-1)