Update README.md

README.md

@@ -1,9 +1,28 @@
 ---
-pipeline_tag: text2text-generation
 tags:
-- yoruba
+- text2text-generation
 - roman-numerals
-- expert-system
-- text2text
+- yoruba
+- byt5
 license: apache-2.0
----
+library_name: transformers
+pipeline_tag: text2text-generation
+model_type: encoder-decoder
+base_model: google/byt5-small
+---
+
+# Yoruba Roman Numerals Expert System 🇳🇬🔢
+
+This model is fine-tuned from **google/byt5-small** to translate **Roman numerals** (e.g. 'i','v','x',`'XIV`, `V̅M`, up to 6000) into **Yoruba text**.
+
+## Example Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+tokenizer = AutoTokenizer.from_pretrained("Emeritus-21/yorubanumerals-expertsystem")
+model = AutoModelForSeq2SeqLM.from_pretrained("Emeritus-21/yorubanumerals-expertsystem")
+
+inputs = tokenizer("V̅M", return_tensors="pt")
+outputs = model.generate(**inputs)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))