T5 TTParser

🚀 Trinidad English Creole Parser

This model serves as a parser for Trinidad English Creole, offering text - to - text generation capabilities.

🚀 Quick Start

This model was trained as a parser to Trinidad English Creole.

✨ Features

• Trinidad and Tobago English Parsing: Specialized in parsing Trinidad English Creole.
• Text - to - Text Generation: Capable of generating relevant text outputs.
• Caribbean - Focused: With a focus on the Caribbean language context.

📦 Installation

No specific installation steps are provided in the original document.

💻 Usage Examples

Basic Usage

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("KES/T5-TTParser")

model = AutoModelForSeq2SeqLM.from_pretrained("KES/T5-TTParser")

txt = "Ah have live with mi paremnts en London"
inputs = tokenizer("grammar:"+txt, truncation=True, return_tensors='pt')

output = model.generate(inputs['input_ids'], num_beams=4, max_length=512, early_stopping=True)
correction=tokenizer.batch_decode(output, skip_special_tokens=True)
print("".join(correction)) #Correction: Ah live with meh parents in London.

📚 Documentation

Model

This model utilises T5 - base pre - trained model. It was fine tuned using a combination of a custom dataset and creolised JFLEG dataset. JFLEG dataset was creolised using the file encoding feature of the Caribe library. For more on Caribbean Creole checkout the library Caribe.

📄 License

This project is licensed under the cc - by - nc - sa - 4.0 license.