load model with autoloader

app.py

@@ -10,9 +10,10 @@ import numpy as np
 
 from torchmoji.sentence_tokenizer import SentenceTokenizer
 from torchmoji.model_def import torchmoji_emojis
-
+from transformers import AutoModel
 model_name = "Uberduck/torchmoji"
-model_path = './' + model_name + "/pytorch_model.bin"
+model = AutoModel.from_pretrained(model_name)
+model_path = model
 vocab_path = './' + model_name + "/vocabulary.json"
 
 def top_elements(array, k):