| | --- |
| | 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) |
| | ``` |
| |
|
| |
|
