update readme

README.md

@@ -39,6 +39,24 @@ Afaan Oromoo(orm), Amharic(amh), Gahuza(gah), Hausa(hau), Igbo(igb), Nigerian Pi
 - 143 Million Tokens (1GB of text data)
 - Tokenizer Vocabulary Size: 70,000 tokens
 
+## Intended uses & limitations 
+
+```python
+>>> from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
+
+>>> tokenizer = AutoTokenizer.from_pretrained("castorini/afriteva_large")
+>>> model = AutoModelForSeq2SeqLM.from_pretrained("castorini/afriteva_large")
+
+>>> src_text = "Ó hùn ọ́ láti di ara wa bí?"
+>>> tgt_text =  "Would you like to be?"
+
+>>> model_inputs = tokenizer(src_text, return_tensors="pt")
+>>> with tokenizer.as_target_tokenizer():
+        labels = tokenizer(tgt_text, return_tensors="pt").input_ids
+
+>>> model(**model_inputs, labels=labels) # forward pass
+```
+
 ## Training Procedure
 
 For information on training procedures, please refer to the AfriTeVa [paper](#) or [repository](https://github.com/castorini/afriteva)