Update README.md

README.md

@@ -19,4 +19,27 @@ configs:
 ---
 10 million random examples from Uniref50 representative sequences (October 2023) and computed [selfies](https://github.com/aspuru-guzik-group/selfies) strings. The strings are stored as input ids from a custom selfies tokenizer. A BERT tokenizer with this vocabulary has been uploaded to this dataset under the files.
 
+You can access the tokenizer like this:
+
+```python
+import os
+from huggingface_hub import hf_hub_download
+from transformers import AutoTokenizer
+
+repo_path = 'Synthyra/ProteinSelfies'
+local_path = 'ProteinSelfies'
+files = ['special_tokens_map.json', 'tokenizer_config.json', 'vocab.txt']
+os.makedirs(local_path, exist_ok=True)
+
+for file in files:
+    hf_hub_download(
+        repo_id=repo_path,
+        filename=file,
+        repo_type='dataset',
+        local_dir=local_path
+    )
+
+tokenizer = AutoTokenizer.from_pretrained(local_path)
+```
+
 Intended for atom-wise protein language modeling.