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-# GPT-2 for Tigrinya Language
-
-This repository contains a GPT-2 model trained from scratch on Tigrinya text data. The model was trained using the Hugging Face Transformers library.
-
-## Model Details
-
-- Model Type: GPT-2
-- Language: Tigrinya
-- Vocabulary Size: 16000
-- Maximum Length: 128
-- Model Size: Small
-- Number of Parameters: 33,523,200
-
-## Training Details
-
-- Number of Epochs: 12
-- Batch Size: 1 (with gradient accumulation steps of 4)
-- Learning Rate: 5e-4
-
-## Dataset Statistics
-- Total number of words: 16061839
-- Total number of unique words: 458901
-
-## Usage
-
-```python
-from transformers import pipeline
-
-# Load the model
-generator = pipeline('text-generation', model='luel/gpt2-tigrinya-small')
-
-# Generate text
-text = generator("ትግራይ", max_length=60)
-print(text)