Create README.md

# NexaConverseAI-IntentModel

A transformer-based intent classification model for conversational AI platforms.

## Model Description
- **Usage:** Intent recognition in multi-turn, customer service chatbots and conversational AI pipelines.
- **Base model:** [distilbert-base-uncased] or [YOUR BASE MODEL]
- **Tasks:** Text classification - predicts intent label based on user utterance.

## Training Data
- Proprietary or open-source multi-intent dataset, cleaned and preprocessed for customer support, order-tracking, general conversation, and fallback.
- [If custom dataset, mention how many examples/classes.]

## Example Usage

from transformers import pipeline

classifier = pipeline("text-classification", model="promptsbyesha/NexaConverseAI-IntentModel")
print(classifier("I want to track my order"))

## Intended Use and Limitations
- Designed for customer support bots, scalable to other domains with fine-tuning.
- English only. For other languages, retrain/fine-tune needed.
- May produce erroneous results on chat-style text or unseen intents.

## Metrics
- [Add accuracy, F1 etc. if evaluated. Else: “Pending evaluation.”]

## License
MIT

## Citation
If you use this model, cite:


@software
{esha_nexaconverse_2025,
author = {PromptedByEsha},
title = {NexaConverseAI-IntentModel: Transformer for Conversational Intent Recognition},
year = {2025},
url = {https://huggingface.co/promptsbyesha/NexaConverseAI-IntentModel}
}
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README.md

@@ -0,0 +1,13 @@
+---
+license: mit
+language:
+- en
+pipeline_tag: text-classification
+tags:
+- intent-recognition
+- conversational-ai
+- customer-support
+- chatbot
+- transformers
+- nlp
+---