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distilbert-sentiment-tone-analyzer
rama9agg/distilbert-sentiment-tone-analyzer
distilbert-sentiment-tone-analyzer is a machine learning model from rama9agg. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
A lightweight, fine-tuned DistilBERT model designed for dual-head sequence classification. It simultaneously predicts core sentiment (Positive/Negative) and conversational tone across text inputs such as product revie…
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Updated Jul 22, 2026
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At a glance
- License
- mit
- Access
- Public
- Created
- Jul 22, 2026
- Updated
- Jul 22, 2026
- SHA
- 322ebd1e
Model card
From the Hugging Face model README
DistilBERT Sentiment & Tone Analyzer
A lightweight, fine-tuned DistilBERT model designed for dual-head sequence classification. It simultaneously predicts core sentiment (Positive/Negative) and conversational tone across text inputs such as product reviews, user comments, social posts, and quotes.
🎭 Model Details & Classes
The model utilizes a shared distilbert-base-uncased backbone with two custom classification heads built on top of the pooled [CLS] embeddings:
-
Sentiment Classification (2 Classes)
0: NEGATIVE1: POSITIVE
-
Tone Classification (4 Classes)
0: MOTIVATIONAL1: SARCASTIC2: FUNNY3: LOVE QUOTE
⚡ Quickstart & Usage
Since this model uses a custom multi-task architecture, define the architecture class and load the weights using safetensors and huggingface_hub.
Prerequisites
pip install torch transformers safetensors huggingface_hub
- License
- mit
- Created
- Jul 22, 2026
- Updated
- Jul 22, 2026