Transformers
PyTorch
TensorFlow
JAX
English
bert
pretraining
singapore
sg
singlish
malaysia
ms
manglish
bert-base-uncased
Instructions to use zanelim/singbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zanelim/singbert with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("zanelim/singbert") model = AutoModelForPreTraining.from_pretrained("zanelim/singbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 758e145226c845da79b15ca4063dfeb85af1a1d6d246f7da11d1a656c2e7b048
- Size of remote file:
- 441 MB
- SHA256:
- 4bf4c507fb5e531b4964a6b2b301545257ae1624cc530edd2dd299411ccf046b
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