Update utils.py

utils.py

@@ -151,7 +151,7 @@ EMBEDDING_MODELL = "sentence-transformers/all-mpnet-base-v2"
 
 #Modell und Tokenizer, um die Summary über die relevanten Texte zu machen
 #mögliche Modelle: "HuggingFaceH4/zephyr-7b-alpha" #"t5-small" #"meta-llama/Meta-Llama-3-8B-Instruct" #"mistralai/Mistral-7B-Instruct-v0.3" #"microsoft/Phi-3-mini-4k-instruct" #"HuggingFaceH4/zephyr-7b-alpha" 
-HF_MODELL = "facebook/bart-large-cnn"
+HF_MODELL = "microsoft/Phi-3-mini-4k-instruct"
 modell_rag = AutoModelForSeq2SeqLM.from_pretrained(HF_MODELL)
 tokenizer_rag = AutoTokenizer.from_pretrained(HF_MODELL)