README.md

metadata

license: mit
datasets:
  - ai4bharat/indic-align
language:
  - en
metrics:
  - accuracy
base_model:
  - microsoft/DialoGPT-small
pipeline_tag: text-generation
library_name: transformers
tags:
  - text-generation-inference

anktechsol/ankiGPT-small

🧠 What is ankiGPT-small?

A conversational text-generation model fine-tuned from microsoft/DialoGPT-small for Indian scenarios—supporting English and Hinglish. Use it to generate stories, dialogue, quick responses, and creative text.

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🚀 Quick Start

from transformers import pipeline
generator = pipeline("text-generation", model="anktechsol/ankiGPT-small")
prompt = "Write a short story about a day in the life of a student in a bustling Indian city."
result = generator(prompt, max_length=300, num_return_sequences=1)
print(result[0]['generated_text'])

Copy-paste this code to see instant results!

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✨ Features

• Conversational: Tuned for chat, stories, and messages
• Language: English + Hinglish (Indian conversational flavor)
• Base Model: DialoGPT-small
• Size: 124M parameters (fast and lightweight)
• Dataset: ai4bharat/indic-align (Indian context data)

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💡 Example Outputs

Prompt: "Describe the Diwali celebrations in Mumbai."

Output: "The city sparkled with thousands of lights, families prepared delicious sweets, and friends gathered for bursting crackers, laughter echoing through the alleys."

Try your own prompts above!

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⚠️ Limitations & Considerations

• Tends to repeat on long text—adjust max_length and no_repeat_ngram_size as needed
• Biased towards Indian contexts due to training data
• Not for critical or factual information generation

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🙌 Contributions & Community

• Suggestions? Open an issue or start a discussion. We welcome community feedback!
• Demo: Want a hands-on demo? Let us know!

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🔗 References

• anktechsol.com

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