Update README.md

README.md

@@ -25,14 +25,6 @@ BLING models are fine-tuned with distilled high-quality custom instruct datasets
 - **License:** Apache 2.0
 - **Finetuned from model [optional]:** EleutherAI/Pythia-1b-deduped
 
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
 ## Uses
 
 <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
@@ -94,6 +86,7 @@ mitigate potential bias and safety.    We would strongly discourage any use of B
 The fastest way to get started with BLING is through direct import in transformers:
 
 model = AutoModelForCausalLM.from_pretrained("llmware/bling-1b-0.1")
+
 tokenizer = AutoTokenizer.from_pretrained("llmware/bling-1b-0.1")
 
 The BLING model was fine-tuned with a simple "<human> and <bot> wrapper", so to get the best results, wrap inference entries as: