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Thrad/
thrad-bert-conversation-classifier

Name: thrad-bert-conversation-classifier
Availability: InStock

safetensors

distilbert

text-classification

conversation-classification

knowledge-distillation

apache-2.0

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thrad-bert-conversation-classifier

BERT model for conversation intent classification with hard labels. For additional information about the data preprocessing, training, or evaluation, refer to the public repository for the project [here].

Model Details

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

Usage

python

from transformers import AutoTokenizer, AutoModelForSequenceClassification

model = AutoModelForSequenceClassification.from_pretrained("Thrad/thrad-bert-conversation-classifier")
tokenizer = AutoTokenizer.from_pretrained("Thrad/thrad-bert-conversation-classifier")

# 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)