README.md

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

<!-- This model card has been generated automatically according to the information Keras had access to. You should
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# Model description
The model is a mt5-base version of Gujarati Grammarly for text 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="બનાશકાઁઠામાઁ તીડે આકરમણ કરયૂ છે."
    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