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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']) |