Update README.md to use correct config json

README.md

@@ -29,7 +29,7 @@ Simply specify the Finlang embedding during the indexing procedure for your Fina
 
 ```
 from llama_index.embeddings import HuggingFaceEmbedding
-embed_model = HuggingFaceEmbedding(model_name="FinLang/investopedia_embedding")
+embed_model = HuggingFaceEmbedding(model_name="FinLang/finance-embeddings-investopedia")
 ```
 
 
@@ -47,7 +47,7 @@ Then you can use the model like this:
 from sentence_transformers import SentenceTransformer
 sentences = ["This is an example sentence", "Each sentence is converted"]
 
-model = SentenceTransformer('FinLang/investopedia_embedding')
+model = SentenceTransformer('FinLang/finance-embeddings-investopedia')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```
@@ -57,7 +57,7 @@ Example code testing:
 ```
 from sentence_transformers import SentenceTransformer, util
 
-model = SentenceTransformer("FinLang/investopedia_embedding")
+model = SentenceTransformer("FinLang/finance-embeddings-investopedia")
 
 query_1 = "What is a potential concern with allowing someone else to store your cryptocurrency keys, and is it possible to decrypt a private key?"
 query_2 = "A potential concern is that the entity holding your keys has control over your cryptocurrency in a custodial relationship. While it is theoretically possible to decrypt a private key, with current technology, it would take centuries or millennia for the 115 quattuorvigintillion possibilities. Most hacks and thefts occur in wallets, where private keys are stored."