---
language: en
library_name: transformers
pipeline_tag: text-generation
license: mit
tags:
- conversational
- dialogue
- customer-support
- text-generation
- distilgpt2
base_model: distilgpt2
inference:
  parameters:
    max_new_tokens: 100
    temperature: 0.7
    do_sample: true
    top_p: 0.9
widget:
- text: "User: How do I reset my password?\nBot:"
  example_title: "Password Reset"
- text: "User: What are your business hours?\nBot:"
  example_title: "Business Hours"
- text: "User: How do I track my order?\nBot:"
  example_title: "Order Tracking"
- text: "User: How do I contact support?\nBot:"
  example_title: "Contact Support"
- text: "User: What is your return policy?\nBot:"
  example_title: "Return Policy"
---

# SupportBot Customer Support Model

This model is a fine-tuned version of `distilgpt2` specifically designed for customer support conversations on the SupportBot platform.

## Model Description

A conversational AI model that provides helpful, accurate responses to common customer support queries including password resets, order tracking, return policies, account management, and troubleshooting.

## Intended Uses

This model is designed to:
- Answer customer support questions automatically
- Provide consistent, accurate responses
- Reduce human agent workload
- Offer 24/7 support availability

## How to Use

### Python (Transformers)

```python
from transformers import pipeline

generator = pipeline('text-generation', model='nagham-mlb/supportbot-model')

prompt = "User: How do I reset my password?\nBot:"
response = generator(prompt, max_new_tokens=100, temperature=0.7)
print(response[0]['generated_text'])