Update README.md

README.md

@@ -1,67 +1,66 @@
----
-language:
-- en
-- iba
-license: apache-2.0
-tags:
-- translation
-- ibani
-- english-to-ibani
-- low-resource
-library_name: transformers
-pipeline_tag: translation
----
-
-# English to Ibani Translation Model
-
-This model translates English text to Ibani language. It's fine-tuned from Helsinki-NLP/opus-mt-en-mul.
-
-## Usage
-
-```python
-from transformers import MarianMTModel, MarianTokenizer
-
-model = MarianMTModel.from_pretrained("your-username/ibani-translator")
-tokenizer = MarianTokenizer.from_pretrained("your-username/ibani-translator")
-
-text = "I eat fish"
-inputs = tokenizer(text, return_tensors="pt")
-outputs = model.generate(**inputs)
-translation = tokenizer.decode(outputs[0], skip_special_tokens=True)
-print(translation)
-```
-
-## Training Data
-
-Trained on English-Ibani parallel sentences from the ibani_eng dataset.
-
-## Performance
-
-[Add your evaluation metrics here]
-
-## Model Details
-
-- **Base Model**: Helsinki-NLP/opus-mt-en-mul
-- **Language Pair**: English → Ibani
-- **Task**: Machine Translation
-- **Framework**: Hugging Face Transformers
-
-## Limitations
-
-- This is a low-resource language model
-- Performance may vary with complex sentence structures
-- Best results with simple to moderate complexity sentences
-
-## Citation
-
-If you use this model, please cite:
-
-```bibtex
-@misc{ibani-translator,
-  author = {Your Name},
-  title = {English to Ibani Translation Model},
-  year = {2025},
-  publisher = {Hugging Face},
-  howpublished = {\url{https://huggingface.co/your-username/ibani-translator}}
-}
-```
+---
+language:
+- en
+license: apache-2.0
+tags:
+- translation
+- ibani
+- english-to-ibani
+- low-resource
+library_name: transformers
+pipeline_tag: translation
+---
+
+# English to Ibani Translation Model
+
+This model translates English text to Ibani language. It's fine-tuned from Helsinki-NLP/opus-mt-en-mul.
+
+## Usage
+
+```python
+from transformers import MarianMTModel, MarianTokenizer
+
+model = MarianMTModel.from_pretrained("your-username/ibani-translator")
+tokenizer = MarianTokenizer.from_pretrained("your-username/ibani-translator")
+
+text = "I eat fish"
+inputs = tokenizer(text, return_tensors="pt")
+outputs = model.generate(**inputs)
+translation = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(translation)
+```
+
+## Training Data
+
+Trained on English-Ibani parallel sentences from the ibani_eng dataset.
+
+## Performance
+
+[Add your evaluation metrics here]
+
+## Model Details
+
+- **Base Model**: Helsinki-NLP/opus-mt-en-mul
+- **Language Pair**: English → Ibani
+- **Task**: Machine Translation
+- **Framework**: Hugging Face Transformers
+
+## Limitations
+
+- This is a low-resource language model
+- Performance may vary with complex sentence structures
+- Best results with simple to moderate complexity sentences
+
+## Citation
+
+If you use this model, please cite:
+
+```bibtex
+@misc{ibani-translator,
+  author = {Your Name},
+  title = {English to Ibani Translation Model},
+  year = {2025},
+  publisher = {Hugging Face},
+  howpublished = {\url{https://huggingface.co/your-username/ibani-translator}}
+}
+```