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distilroberta-finetuned
Oridak771/distilroberta-finetuned
distilroberta-finetuned is a text classification model from Oridak771. Use it when you need a label for a piece of text. It is set up for transformers.
This is a fine-tuned DistilRoBERTa model for classifying user intents based on text input. DistilRoBERTa is a lightweight, distilled version of RoBERTa, optimized for performance while maintaining strong natural langu…
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Jun 22, 2024
- Updated
- Apr 14, 2025
- SHA
- ba5992cc
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Model card
From the Hugging Face model README
Model Card: DistilRoBERTa Intent Classifier
Model Description
This is a fine-tuned DistilRoBERTa model for classifying user intents based on text input. DistilRoBERTa is a lightweight, distilled version of RoBERTa, optimized for performance while maintaining strong natural language understanding. The model was fine-tuned on a custom dataset to predict user intents, making it suitable for applications like chatbots, customer support automation, or dialogue systems.
- Base Model: DistilRoBERTa-base
- Task: Text Classification (Intent Classification)
- Intents:
- Language: English
- License:
Intended Use
This model is designed for:
- Classifying user intents in conversational AI systems.
- Automating responses in customer support or virtual assistants.
- Analyzing user queries in real-time applications.
Not intended for:
- General-purpose text classification outside intent recognition.
- Sensitive or high-stakes applications without further validation.
How to Use
Installation
Ensure you have the required libraries installed:
pip install transformers torch
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Jun 22, 2024
- Updated
- Apr 14, 2025