pashto-base-bloom

BLOOM-based model fine-tuned for Pashto language tasks

🌟 Model Overview

This model is part of the ZamAI Pro Models Strategy - a comprehensive AI platform designed for multilingual applications with specialized focus on Pashto language support.

Key Features

• 🧠 Advanced AI: Based on bigscience/bloomz-560m architecture
• 🌐 Multilingual: Optimized for Pashto and English
• ⚡ High Performance: Optimized for production deployment
• 🔒 Secure: Enterprise-grade security and privacy

📚 Usage

Basic Usage with Transformers

from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("tasal9/pashto-base-bloom")
model = AutoModel.from_pretrained("tasal9/pashto-base-bloom")

# Example usage
text = "Your input text here"
inputs = tokenizer(text, return_tensors="pt")
outputs = model(**inputs)

Usage with Hugging Face Inference API

from huggingface_hub import InferenceClient

client = InferenceClient(token="your_hf_token")

response = client.text_generation(
    model="tasal9/pashto-base-bloom",
    prompt="Your prompt here",
    max_new_tokens=200
)

🔧 Technical Details

• Model Type: text-generation
• Base Model: bigscience/bloomz-560m
• Languages: Pashto (ps), English (en)
• License: MIT
• Training: Fine-tuned on Pashto educational and cultural content

🚀 Applications

This model powers:

• ZamAI Educational Platform: Pashto language tutoring
• Business Automation: Document processing and analysis
• Voice Assistants: Natural language understanding
• Cultural Preservation: Supporting Pashto language technology

📞 Support

For support and integration assistance:

• 📧 Email: support@zamai.dev
• 🌐 Website: zamai.dev
• 💬 Community: ZamAI Community

📄 License

Licensed under the MIT License.

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Part of the ZamAI Pro Models Strategy - Transforming AI for Multilingual Applications 🌟

Updated: 2025-07-05 21:29:16 UTC