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:
- 9f8666ac20d3eed9386e87471d96c479efe86e15873bab798a1e8116146393a3
- Size of remote file:
- 1.34 GB
- SHA256:
- 10c9fad642fbab6b0568928a315e86c9473b8c537c8c0e22489fefc0d24ff068
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