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README.md

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+---
+language: en
+license: apache-2.0
+tags:
+- text2text-generation
+- t5
+- grammar-correction
+- text-correction
+---
+
+# T5-Base Fine-tuned for Grammar Correction
+
+This is a fine-tuned T5-base model for grammar correction tasks.
+
+## Usage
+
+```python
+from transformers import T5ForConditionalGeneration, T5Tokenizer
+
+model = T5ForConditionalGeneration.from_pretrained("MdSourav76046/t5-base-grammar-correction")
+tokenizer = T5Tokenizer.from_pretrained("MdSourav76046/t5-base-grammar-correction")
+
+# Example usage
+input_text = "correct: The studnet are studing hard for there exams"
+inputs = tokenizer(input_text, return_tensors="pt", max_length=96, truncation=True)
+outputs = model.generate(**inputs, max_length=128, num_beams=3, early_stopping=True)
+corrected_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(corrected_text)
+```