metadata
license: apache-2.0
language:
- en
pipeline_tag: text-classification
library_name: transformers
tags:
- text-classification
- nlp
- machine-learning
- cyfuture-ai
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)