Update README.md to reflect the breaking name change

README.md

@@ -1,16 +1,17 @@
 ---
 license: cc-by-nc-sa-4.0
 ---
-# SEA-LION-7B-Instruct-NC
+# SEA-LION-7B-Instruct-Research
 
 SEA-LION is a collection of Large Language Models (LLMs) which has been pretrained and instruct-tuned for the Southeast Asia (SEA) region.
 The size of the models range from 3 billion to 7 billion parameters.
 This is the card for the SEA-LION 7B Instruct (Non-Commercial) model.
 
-For more details on the base model, please refer to the [base model's model card](https://huggingface.co/aisingapore/sealion7b).
+For more details on the base model, please refer to the [base model's model card](https://huggingface.co/aisingapore/sea-lion-7b).
 
-SEA-LION stands for <i>Southeast Asian Languages In One Network</i>.
+For the commercially permissive model, please refer to the [SEA-LION-7B-Instruct](https://huggingface.co/aisingapore/sea-lion-7b-instruct).
 
+SEA-LION stands for <i>Southeast Asian Languages In One Network</i>.
 
 ## Model Details
 
@@ -88,8 +89,8 @@ The tokenizer type is Byte-Pair Encoding (BPE).
 
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-tokenizer = AutoTokenizer.from_pretrained("aisingapore/sealion7b-instruct-nc", trust_remote_code=True)
-model = AutoModelForCausalLM.from_pretrained("aisingapore/sealion7b-instruct-nc", trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained("aisingapore/sea-lion-7b-instruct-nc", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("aisingapore/sea-lion-7b-instruct-nc", trust_remote_code=True)
 
 prompt_template = "### USER:\n{human_prompt}\n\n### RESPONSE:\n"
 prompt = """Apa sentimen dari kalimat berikut ini?