Update README.md

README.md

@@ -24,7 +24,7 @@ Axya-Mini is a lightweight, efficient adapter-based language model specifically
 **Model Type:** Adapter-based Fine-tuned Model  
 **Base Model:** GPT-2 (openai-community/gpt2)  
 **Language:** Dhivehi (ދިވެހި)  
-**Framework:** Quetzal (Revolutionary CPU-optimized training library) + Transformers with Adapter-Transformers**Format:** Safetensors  
+**Framework:** Quetzal (Revolutionary CPU-optimized training library)
 
 ## Key Features
 
@@ -75,49 +75,6 @@ pip install quetzal-ai
 **Why Quetzal for Dhivehi?**
 Quetzal is specifically optimized for low-resource languages like Dhivehi, enabling efficient model training and deployment without requiring expensive GPU infrastructure. This makes it ideal for building NLP models for endangered or underrepresented languages.
 
-## Evaluation Results
-
-| Metric | Score |
-|--------|-------|
-| Accuracy | [To be filled with benchmark results] |
-
-## Usage
-
-### Installation
-
-```bash
-pip install transformers adapter-transformers torch
-```
-
-### Quick Start
-
-```python
-from transformers import AutoTokenizer, AutoModelForCausalLM
-from adapters import AutoAdapterModel
-
-# Load the model and tokenizer
-tokenizer = AutoTokenizer.from_pretrained("axmeeabdhullo/axya-mini")
-model = AutoAdapterModel.from_pretrained("axmeeabdhullo/axya-mini")
-
-# Load the adapter
-model.load_adapter("axmeeabdhullo/axya-mini")
-model.set_active_adapters("axya-mini")
-
-# Generate text
-input_text = "ސްވާލުވި ވާ"  # Example Dhivehi text
-inputs = tokenizer(input_text, return_tensors="pt")
-outputs = model.generate(**inputs, max_length=100)
-response = tokenizer.decode(outputs[0], skip_special_tokens=True)
-print(response)
-```
-
-### Advanced Usage
-
-```python
-# For question-answering tasks
-question = "ދިވެހިރާއްޖެ ރାษްޓްރީ ގަވާސް ކެވެ?"  # What is Maldives' national language?
-answer = model.generate(...)
-```
 
 ## Model Performance
 
@@ -147,7 +104,7 @@ If you use this model, please cite:
 @model{axya_mini,
   author = {Abdhullo, Axmee},
   title = {Axya-Mini: Dhivehi Language Question-Answering Model},
-  year = {2024},
+  year = {2025},
   publisher = {Hugging Face Model Hub},
   howpublished = {https://huggingface.co/axmeeabdhullo/axya-mini}
 }
@@ -168,7 +125,7 @@ This model is licensed under the Apache License 2.0. See the LICENSE file for de
 
 **Axmee Abdhullo**  
 AI/ML Developer specializing in Dhivehi NLP  
-[GitHub](https://github.com) | [Hugging Face](https://huggingface.co/axmeeabdhullo)
+[Hugging Face](https://huggingface.co/axmeeabdhullo)
 
 ## Contact & Support