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grammar-correction-model

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 ---
-library_name: transformers
-tags: []
 ---
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 ---
+language: en
+license: mit
+datasets:
+  - jfleg
+tags:
+  - grammar-correction
+  - t5
+  - english
+pipeline_tag: text2text-generation
+widget:
+  - text: "correct grammar: She dont like to eat vegetables but she like fruits."
+  - text: "correct grammar: They goes to the store every day."
+  - text: "correct grammar: He have been working here for five years."
 ---
+# Grammar Correction Model
+This model is fine-tuned to correct grammatical errors in English text. It's based on T5 and specifically trained on essay correction data.
+## Model Description
+- **Model Type:** T5
+- **Task:** Grammar Correction
+- **Training Data:** Custom essay dataset with grammatical errors and corrections
+- **Output:** Grammatically corrected text
+## Usage
+```python
+from transformers import T5ForConditionalGeneration, T5Tokenizer
+# Load model and tokenizer
+model = T5ForConditionalGeneration.from_pretrained("mide7x/grammar-correction-model")
+tokenizer = T5Tokenizer.from_pretrained("mide7x/grammar-correction-model")
+# Prepare input (add the prefix "correct grammar: ")
+incorrect_text = "She dont like to eat vegetables but she like fruits."
+input_text = f"correct grammar: {incorrect_text}"
+# Tokenize and generate
+input_ids = tokenizer(input_text, return_tensors="pt").input_ids
+outputs = model.generate(input_ids)
+corrected_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(corrected_text)
+# Expected output: "She doesn't like to eat vegetables but she likes fruits."
+```
+## Limitations
+- Works best with English text
+- Performance may vary for technical or domain-specific content
+- Very long or complex sentences may be challenging to correct
+## Citation
+If you use this model in your research, please cite:
+```bibtex
+@misc{grammar-correction-model,
+  author = {AdmitEase},
+  title = {Grammar Correction Model},
+  year = {2025},
+  publisher = {Hugging Face},
+  howpublished = {\url{https://huggingface.co/mide7x/grammar-correction-model}}
+}
+```