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JJTsao/
intent-classifier-distilbert-moviebot

Name: intent-classifier-distilbert-moviebot
Rating: 2.5 (10 reviews)

safetensors

distilbert

text-classification

intent-classification

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🎬 DistilBERT Intent Classifier for Movie & TV Assistant

This model is a fine-tuned DistilBERT-based intent classifier for a conversational movie recommendation assistant. It classifies user queries into one of three intents:

generic – general small talk or casual movie mentions
recommendation – requests for movie or TV suggestions
factual – questions about movie facts, cast, streaming availability, etc.

🧠 Model Details

Base model: distilbert-base-uncased
Training data: 6,000+ custom-labeled queries across all 3 intents
Special augmentations:
- Out-of-domain recommendation phrasing (e.g. restaurants, gadgets)
- Thematic recommendation queries (e.g. “movies for Valentine’s Day”)
Use case: Used inside a RAG-based chatbot for intent-routing and retrieval logic

✨ Example Predictions

Input	Predicted Intent
"Can you recommend a good horror movie?"	recommendation
"Who directed Parasite?"	factual
"Do you like sci-fi shows?"	generic
"Suggest restaurants in Rome?"	generic (OOD)

🚀 Usage

python

from transformers import pipeline

classifier = pipeline("text-classification", model="your-username/intent-classifier-distilbert-moviebot")

query = "Can you suggest a good action movie?"
result = classifier(query, top_k=None)
print(result)

JJTsao/intent-classifier-distilbert-moviebot

🎬 DistilBERT Intent Classifier for Movie & TV Assistant

🧠 Model Details

✨ Example Predictions

🚀 Usage

JJTsao/
intent-classifier-distilbert-moviebot