README.md

---
language: id
tags:
- bart
- id
license: mit
---

# Indonesia Recipe Ingredients Generator Model

**WARNING: inference on Huggingface might not run since the tokenizer used is not transformers's tokenizer.**

Feel free to test the model [in this space](https://huggingface.co/spaces/haryoaw/id-recigen)

😎 **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.

Basically, you give the name of the food and it will produce the ingredients of the food.

## Model

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 usage of the tokenizer and the model.

### Tokenizer

Since we use `indobart-v2`, we need to use their tokenizer.

First, install the tokenizer by doing `pip install indobenchmark-toolkit`. 




After that, you can load the tokenizer:

```python
from indobenchmark.tokenization_indonlg import IndoNLGTokenizer

tokenizer = IndoNLGTokenizer.from_pretrained("haryoaw/id-recigen-bart")
```

**EDIT**: 

Seems like the tokenizer in the package is not the same as the one that I use to finetune the model.
There are some noticeable bug such as some subword tokens are not considered as subword. Nevertheless, it stil works!

### Model

The model can be loaded by using AutoModel.

```python
from transformers import AutoModelForSeq2SeqLM

model = AutoModelForSeq2SeqLM.from_pretrained("haryoaw/id-recigen-bart")
```


## Input Example

Make sure to input a **LOWERCASE** food name. The tokenizer is case-sensitive!

```
sayur asam
```

```
nasi goreng ayam
```

~To be continued..