
# 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..



{"language": "id", "license": "mit", "tags": ["bart", "id"]}
transformers pytorch mbart text2text-generation bart id license:mit autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #mbart #text2text-generation #bart #id #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 


# 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

 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  
Pre-trained Model: 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:



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.




## Input Example

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





~To be continued..



# 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

 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  
Pre-trained Model: 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:



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. ## Input Example

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





~To be continued..
TAGS
#transformers #pytorch #mbart #text2text-generation #bart #id #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # 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

 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  
Pre-trained Model: 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:



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. ## Input Example

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





~To be continued..
passage: TAGS
#transformers #pytorch #mbart #text2text-generation #bart #id #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
# 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

 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  
Pre-trained Model: 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:



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.## Input Example

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





~To be continued..