ups

utils.py

@@ -20,11 +20,11 @@ models = [hf_manifesto_path(""), hf_sentiment_path(""), hf_emotion_path("")]
 tokenizers = ["xlm-roberta-large"]
 
 def download_hf_models():
-    for model in models:
+    for model_id in models:
         model = AutoModelForSequenceClassification.from_pretrained(model_id, low_cpu_mem_usage=True, device_map="auto",
                                                                    token=HF_TOKEN)
     del model
-    for tokenizer in tokenizers:
+    for tokenizer_id in tokenizers:
         tokenizer = AutoTokenizer.from_pretrained(tokenizer_id)
     del tokenizer