Update README.md

README.md

@@ -68,10 +68,10 @@ It builds on the work done in [SciRepEval: A Multi-Format Benchmark for Scientif
 from transformers import AutoTokenizer, AutoModel
 
 # load model and tokenizer
-tokenizer = AutoTokenizer.from_pretrained('allenai/specter2')
+tokenizer = AutoTokenizer.from_pretrained('allenai/specter2_base')
 
 #load base model
-model = AutoModel.from_pretrained('allenai/specter2')
+model = AutoModel.from_pretrained('allenai/specter2_base')
 
 #load the adapter(s) as per the required task, provide an identifier for the adapter in load_as argument and activate it
 model.load_adapter("allenai/specter2_proximity", source="hf", load_as="proximity", set_active=True)