Transformers
PyTorch
TensorFlow
JAX
English
bert
pretraining
singapore
sg
singlish
malaysia
ms
manglish
bert-large-uncased
Instructions to use zanelim/singbert-large-sg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zanelim/singbert-large-sg with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("zanelim/singbert-large-sg") model = AutoModelForPreTraining.from_pretrained("zanelim/singbert-large-sg") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 289a1a157dffa287fa7880ef97b3de62238c4a4b36199e79c5b9baa3a887c083
- Size of remote file:
- 1.35 GB
- SHA256:
- 6546312e8cecf77619385f5698a5a0546e160c6f4f7c7bfd307431f9c3d66a24
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