| --- |
| license: apache-2.0 |
| tags: |
| - text-classification |
| - distilbert |
| - conversation-classification |
| - knowledge-distillation |
| --- |
| |
| # ThradDistilbertConversationClassifier |
|
|
| Personal copy of a DistilBERT model for conversation classification with hard labels I developed at [Thrad.ai](https://www.thrad.ai). [Publication](https://huggingface.co/Thrad/thrad-distilbert-conversation-classifier), [Publication GitHub](https://github.com/Thrads/Conversation-Classifiers), [Dev. GitHub](https://github.com/ScottBiggs2/DistilBERT-Convo.-Classifier) |
|
|
| ## Model Details |
|
|
| - **Base Architecture**: DistilBERT |
| - **Task**: Multi-class conversation intent classification |
|
|
| ## Usage |
|
|
| ```python |
| from transformers import AutoTokenizer, AutoModelForSequenceClassification |
| |
| model = AutoModelForSequenceClassification.from_pretrained("ScottBiggs2/ThradDistilbertConversationClassifier") |
| tokenizer = AutoTokenizer.from_pretrained("ScottBiggs2/ThradDistilbertConversationClassifier") |
| |
| # 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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|
