This model is a fine-tuned version of
t5-small specifically designed to correct typographic and transcription errors in Dhivehi text, especially those arising from automatic speech recognition (ASR) systems. It is optimized for ASR output cleanup tasks and may not perform reliably on general-purpose text correction or with other model inputs outside the scope of Dhivehi ASR error correction. For best results, use this model only within the context of post-processing Dhivehi ASR outputs.
You can use this model to correct ASR-generated text from Dhivehi audio. Here's an example using Hugging Face Transformers:
1from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
2
3tokenizer = AutoTokenizer.from_pretrained("alakxender/t5-dhivehi-typo-corrector-asr")
4model = AutoModelForSeq2SeqLM.from_pretrained("alakxender/t5-dhivehi-typo-corrector-asr")
5
6input_text = "މަސްދޫކޮށް ފަހަރަކު"
7input_ids = tokenizer("fix: " + input_text, return_tensors="pt").input_ids
8outputs = model.generate(input_ids)
9print(tokenizer.decode(outputs[0], skip_special_tokens=True))
