File size: 1,333 Bytes
69a5e8d a2b56bf 69a5e8d a2b56bf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | ---
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:
```python
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) |