Cyfutureai/cyfuture-ai-text-classifier

Cyfuture AI Text Classifier

Cyfuture AI Text Classifier is a lightweight natural language processing model designed for text classification and AI application prototyping.

The model is intended as a practical reference for developers building AI applications that need to classify and organize text.

Intended Use

This model can be used for:

• Text classification
• Intent classification
• Support ticket categorization
• Document categorization
• AI application prototyping
• NLP experimentation

Example Applications

Potential applications include:

• Automatically categorizing customer support requests
• Classifying incoming business documents
• Identifying user intents in conversational applications
• Organizing text-based datasets
• Building AI-powered workflow automation

Usage

After the model weights and tokenizer are uploaded, the model can be used with the Hugging Face Transformers library:

from transformers import pipeline

classifier = pipeline(
    "text-classification",
    model="Cyfutureai/cyfuture-ai-text-classifier"
)

result = classifier(
    "This is an example text for classification."
)

print(result)