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 opened over 1 year ago
by
Yogi256
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot