IndoBERT (Indonesian BERT Model)
Model description
ELECTRA is a new method for self-supervised language representation learning. This repository contains the pre-trained Electra Base model (tensorflow 1.15.0) trained in a Large Indonesian corpus (~16GB of raw text | ~2B indonesian words). IndoELECTRA is a pre-trained language model based on ELECTRA architecture for the Indonesian Language.
This model is base version which use electra-base config.
Intended uses & limitations
How to use
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("ChristopherA08/IndoELECTRA")
model = AutoModel.from_pretrained("ChristopherA08/IndoELECTRA")
tokenizer.encode("hai aku mau makan.")
[2, 8078, 1785, 2318, 1946, 18, 4]
Training procedure
The training of the model has been performed using Google's original Tensorflow code on eight core Google Cloud TPU v2. We used a Google Cloud Storage bucket, for persistent storage of training data and models.
- Downloads last month
- 14
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no pipeline_tag.