fixed how to use model

README.md

@@ -70,14 +70,13 @@ The model can be used with `model.encode` for generating embeddings. Below is an
 ```python
 # Load model directly
 from transformers import AutoTokenizer, AutoModel
-
-tokenizer = AutoTokenizer.from_pretrained("model name")
-model = AutoModel.from_pretrained("model name")
+tokenizer = AutoTokenizer.from_pretrained("ArchitRastogi/BGE-Small-LegalEmbeddings-USCode")
+model = AutoModel.from_pretrained("ArchitRastogi/BGE-Small-LegalEmbeddings-USCode")
 text = "Duties of the president"
 inputs = tokenizer(text, return_tensors="pt")
 outputs = model(**inputs)
 #Printing the Embeddings
-print(output)
+print(outputs)
 
 ```