Update README.md

README.md

@@ -1,6 +1,9 @@
 ---
 library_name: transformers
 base_model: meta-llama/Meta-Llama-3-8B
+tags:
+- biology
+- medical
 ---
 
 
@@ -22,7 +25,7 @@ This model is based on the Llama-3-8B architecture and is capable of generating
 
 ## Usage
 
-To download and use the Protein LLaMA 3 model for inference, follow these steps:
+To download and use the Protein-Llama-3 model for inference, follow these steps:
 
 ### Installation
 
@@ -37,7 +40,7 @@ pip install transformers
 Uncontrollable generation can be handled via prompting the model with the phrase 'Seq=<'. 
 
 ```
-generator = pipeline('text-generation', model=merged_model, tokenizer=tokenizer)
+generator = pipeline('text-generation', model="Esperanto/Protein-Llama-3-8B")
 
 sequences = generator("Seq=<",temperature=0.2,
     top_k=40,
@@ -57,9 +60,9 @@ for sequence in sequences:
 Controllable generation can be done by prompting the model with '[Generate xxx protein] Seq=<'. Here, xxx can be any family from the 10 classes supported by this model.
 
 ```
-generator = pipeline('text-generation', model=merged_model, tokenizer=tokenizer)
+generator = pipeline('text-generation', model="Esperanto/Protein-Llama-3-8B")
 
-sequences = generator("[Generate Oxidoreductase protein] Seq=<",temperature=0.2,
+sequences = generator("[Generate Ligase enzyme protein] Seq=<",temperature=0.2,
     top_k=40,
     top_p=0.9,
     do_sample=True,
@@ -74,5 +77,4 @@ for sequence in sequences:
 
 ### Contributors
 
-Aayush Shah, Shankar Jayaratnam
-
+Aayush Shah, Shankar Jayaratnam