fill-mask id region:us
---
language:
- id
pipeline_tag: fill-mask
---
## Model Details
Model Untuk NLP Bahasa Indonesia

### Model Description

<!-- Provide a longer summary of what this model is. -->



- **Developed by:** [https://github.com/staykimin]
- **Shared by [optional]:** [https://github.com/staykimin]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [Indonesia]

### Model Sources [optional]

<!-- Provide the basic links for the model. -->

- **Repository:** [https://github.com/staykimin/nlp_project]

## Penggunaan
```python
from transformers import pipeline
model = pipeline('fill-mask', model='kimin_nlp', tokenizer='kimin_nlp')
print(mode("Dari Sekian Kata {model.tokenizer.mask_token} Kata Ini Lah Yang Paling Berharga"))
```
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->


## Training Details
Penggumpulan Data Dilakukkan Menggunakan Metode Scraping dan Tokenizer Dilakukan Menggunakan Bytes-Level

### Training Data
- [Dataset Antaranews](https://raw.githubusercontent.com/staykimin/nlp_project/kimin/Dataset/datasetv1.min)

<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->