---
license: apache-2.0
language:
- gu
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# Model description
The model is a mt5-small version of Gujarati Grammarly for spell correction given a sentence. Only this small version checkpoints are open source. 

# Example usage:
    from transformers import AutoTokenizer
    import tensorflow as tf
    from transformers import TFAutoModelForSeq2SeqLM
    from transformers import create_optimizer

    model_checkpoint = "Jayveersinh-Raj/guj-grammar-small"
    tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
    model = TFAutoModelForSeq2SeqLM.from_pretrained(model_checkpoint)
     
    sent="સુંદરકાંડના પ્રારંભમાં હનૂમાન બળવાન તો છે પણ સાથે-સાથે બુદ્ધિમાન પણ છે તેની રોચક ધર્મકથા છૈ"
    inputs = tokenizer.encode(sent, return_tensors='tf')
    output_ids = model.generate(inputs, max_length=128, num_beams = 4, early_stopping=True)
    output = tokenizer.decode(output_ids[0], skip_special_tokens=True)

    print("Generated Correction:")
    print(output)

# Notes:
- Only supports Gujarati language for now
- Private dataset is used
- Only Tensorflow model is available for now, Pytorch checkpoints would be available soon.