Add example usage

README.md

@@ -1,3 +1,29 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+---
+
+Upstage `solar-1-mini` tokenizer
+- Vocab size: 64,000
+- Langauge support: English, Korean, Japanese and more
+
+Please use this tokenizer for tokenizing inputs for the Upstage [solar-1-mini-chat](https://developers.upstage.ai/docs/apis/chat) model.
+
+You can load it with the tokenizer library like this:
+
+```python
+from tokenizers import Tokenizer
+
+tokenizer = Tokenizer.from_pretrained("upstage/solar-1-mini-tokenizer")
+text = "Hi, how are you?"
+enc = tokenizer.encode(text)
+print("Encoded input:")
+print(enc)
+
+inv_vocab = {v: k for k, v in tokenizer.get_vocab().items()}
+tokens = [inv_vocab[token_id] for token_id in enc.ids]
+print("Tokens:")
+print(tokens)
+
+number_of_tokens = len(enc.ids)
+print("Number of tokens:", number_of_tokens)
+```