Update README.md

README.md

@@ -17,6 +17,7 @@ A model for mapping abstract sentence descriptions to sentences that fit the des
 
 from transformers import AutoTokenizer, AutoModel
 import torch
+from typing import List
 
 def load_finetuned_model():
 
@@ -28,7 +29,7 @@ def load_finetuned_model():
         return tokenizer, query_encoder, sentence_encoder
 
 
-def encode_batch(model, tokenizer, sentences, device):
+def encode_batch(model, tokenizer, sentences: List[str], device: str):
     input_ids = tokenizer(sentences, padding=True, max_length=512, truncation=True, return_tensors="pt",
                           add_special_tokens=True).to(device)
     features = model(**input_ids)[0]