Update README.md

README.md

@@ -1,6 +1,18 @@
+---
+language: id
+tags:
+- bart
+- id
+license: mit
+---
+
 # Indonesia Recipe Ingredients Generator Model
 
-😎 *Have fun on generating ingredients* 😎
+**WARNING: inference on Huggingface might not run since the tokenizer is not the default one. Currently, I want to build a spaces to run the inference.
+Please wait for it**
+
+
+😎 **Have fun on generating ingredients** 😎
 
 This is a fine-tuned model to generate the Indonesian food ingredients. One of my personal project that I did in my free time.
 
@@ -8,18 +20,18 @@ Basically, you give the name of the food and it will produce the ingredients of
 
 ## Model
 
-Data: [Indonesian Recipe Data on Kaggle](https://www.kaggle.com/datasets/canggih/indonesian-food-recipes)
+Data: [Indonesian Recipe Data on Kaggle](https://www.kaggle.com/datasets/canggih/indonesian-food-recipes)  
 Pre-trained Model: [IndoBART-v2](https://huggingface.co/indobenchmark/indobart-v2)
 
 ## How to use
 
-We will specify the use of the tokenizer and the model.
+We will specify the usage of the tokenizer and the model.
 
 ### Tokenizer
 
 Since we use `indobart-v2`, we need to use their tokenizer.
 
-First, install the tokenizer using `pip install indobenchmark-toolkit`. 
+First, install the tokenizer by doing `pip install indobenchmark-toolkit`. 
 
 After that, you can load the tokenizer:
 
@@ -52,6 +64,4 @@ nasi goreng ayam
 
 ~To be continued
 
----
-license: mit
----
+