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---
license: apache-2.0
tags:
- text-classification
- distilbert
- conversation-classification
- knowledge-distillation
---
# 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](https://github.com/Thrads/Conversation-Classifiers)].
## 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)
```
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