Update README.md

README.md

@@ -64,7 +64,7 @@ Use the code below to get started with the model.
 from transformers import AutoModel, AutoTokenizer
 model_name = "sentence-transformers/all-MiniLM-L6-v2"
 
-# Load the tokenizer,model
+# Load the tokenizer, model and adapter
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModel.from_pretrained(model_name)
 model.load_adapter("esg-x/esg-embedding-model")
@@ -73,7 +73,6 @@ text = "I love ESG"
 inputs = tokenizer(text, return_tensors="pt")
 outputs = model(**inputs)
 ```
-[More Information Needed]
 
 ## Training Details