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--- |
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license: apache-2.0 |
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tags: |
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- text-classification |
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- distilbert |
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- conversation-classification |
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- knowledge-distillation |
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--- |
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# thrad-distilbert-conversation-classifier |
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DistilBERT model for conversation 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)]. |
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## Model Details |
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- **Base Architecture**: DistilBERT |
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- **Task**: Multi-class conversation intent classification |
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## Usage |
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```python |
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from transformers import AutoTokenizer, AutoModelForSequenceClassification |
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model = AutoModelForSequenceClassification.from_pretrained("Thrad/thrad-distilbert-conversation-classifier") |
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tokenizer = AutoTokenizer.from_pretrained("Thrad/thrad-distilbert-conversation-classifier") |
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# Example inference |
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text = "Your conversation text here" |
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inputs = tokenizer(text, return_tensors="pt", truncation=True, max_length=512) |
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outputs = model(**inputs) |
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predictions = outputs.logits.softmax(dim=-1) |
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``` |
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