Update README.md

README.md

@@ -114,7 +114,57 @@ Cheetah-1.2B - Decoded output: Nàìjíríà
 ```
 
 #  3. How to use Toucan model
-
+To translate using Toucan models, use the target language ISO-3 code as preix. Below the supported langauges
+```
+lang_names={
+    "aar": "Afar",
+    "ach": "Acholi",
+    "afr": "Afrikaans",
+    "aka": "Akan",
+    "amh": "Amharic",
+    "bam": "Bambara",
+    "bas": "Basaa",
+    "bem": "Bemba",
+    "btg": "Bete Gagnoa",
+    "eng": "English",
+    "ewe": "Ewe",
+    "fon": "Fon",
+    "fra": "French",
+    "hau": "Hausa",
+    "ibo": "Igbo",
+    "kbp": "Kabiye",
+    "lgg": "Lugbara",
+    "lug": "Luganda",
+    "mlg": "Malagasy",
+    "nyn": "Nyakore",
+    "orm": "Oromo",
+    "som": "Somali",
+    "sot": "Sesotho",
+    "swa": "Swahili",
+    "tir": "Tigrinya",
+    "yor": "Yoruba",
+    "teo": "Ateso",
+    "gez": "Geez",
+    "wal": "Wolaytta",
+    "fan": "Fang",
+    "kau": "Kanuri",
+    "kin": "Kinyawanda",
+    "kon": "Kongo",
+    "lin": "Lingala",
+    "nya": "Chichewa",
+    "pcm": "Nigerian Pidgin",
+    "ssw": "Siswati",
+    "tsn": "Setswana",
+    "tso": "Tsonga",
+    "twi": "Twi",
+    "wol": "Wolof",
+    "xho": "Xhosa",
+    "zul": "Zulu",
+    "nnb": "Nande",
+    "swc": "Swahili Congo",
+    "ara": "Arabic"
+}
+```
 Below is an example for translating using **Toucan-base**. 
 ``` bash
 from transformers import AutoTokenizer, MT5ForConditionalGeneration