AsrorAsr/crypto-gpt2-xaji

Crypto GPT-2 (XAJI)

A fine-tuned GPT-2 model specialized in generating cryptocurrency-related text. Trained on crypto news, market commentary, and trading discussions.

📋 Model Description

This model is based on GPT-2 (124M parameters) and fine-tuned on a curated dataset of cryptocurrency content. It can generate coherent text about Bitcoin, Ethereum, trading strategies, and market analysis.

🎯 Intended Use Cases

• —Generating crypto market commentary
• —Drafting trading signal descriptions
• —Educational content for crypto beginners
• —Chatbot responses for crypto-related questions
• —Content generation for crypto blogs/newsletters

🚀 Quick Start

Install required libraries: \\\bash pip install transformers torch \\\

Generate text with the model: \\\`python from transformers import pipeline

generator = pipeline( "text-generation", model="AsrorAsr/crypto-gpt2-xaji" )

result = generator( "Bitcoin price analysis suggests", maxlength=100, numreturn_sequences=1 )

print(result[0]['generated_text']) \\\`

📊 Training Details

• —Base model: GPT-2 (124M)
• —Framework: Hugging Face Transformers + PyTorch
• —Task: Causal Language Modeling
• —Domain: Cryptocurrency & Finance

⚠️ Limitations & Bias

• —Trained on historical data — not aware of recent events
• —May generate confident-sounding but inaccurate predictions
• —Not financial advice — for educational/research use only
• —May reflect biases present in training data
• —Output should be reviewed before any financial decisions

📜 License

MIT License — free for commercial and personal use.

👤 Author

Asror Akmalov | AI/ML Engineer 🔗 GitHub 🔗 Hugging Face

Open to freelance projects and collaboration.

📬 Citation

If you use this model in your work, please cite: \\\ @misc{akmalov2025cryptogpt2, author = {Akmalov, Asror}, title = {Crypto GPT-2 (XAJI)}, year = {2025}, publisher = {Hugging Face}, url = {https://huggingface.co/AsrorAsr/crypto-gpt2-xaji} } \\\