Feature Extraction
Transformers
PyTorch
TensorFlow
JAX
Indonesian
bert
indobert
indobenchmark
indonlu
Instructions to use indobenchmark/indobert-large-p2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use indobenchmark/indobert-large-p2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="indobenchmark/indobert-large-p2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("indobenchmark/indobert-large-p2") model = AutoModel.from_pretrained("indobenchmark/indobert-large-p2") - Notebooks
- Google Colab
- Kaggle
indobenchmark/indobert-lite-large-p2 architecture
#2
by Yogi256 - opened
Sorry, I would like to confirm whether the architecture used in the indobenchmark/indobert-lite-large-p2 model is actually Bert or Albert. I tried using the model for my thesis, and it turned out there was a cache error or maybe a config.js error. I have made sure the declaration is the same as on the huggingface indobenchmark page, but the config.js print result is AlbertModel.