Transformers
PyTorch
TensorFlow
English
albert
pretraining
singapore
sg
singlish
malaysia
ms
manglish
albert-base-v2
Instructions to use zanelim/singbert-lite-sg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zanelim/singbert-lite-sg with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("zanelim/singbert-lite-sg") model = AutoModelForPreTraining.from_pretrained("zanelim/singbert-lite-sg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44d7d01fec40a141be3f92864579491915a31aee9d81c45b536182974fa3e4fe
- Size of remote file:
- 47.3 MB
- SHA256:
- 54cbe839dbcad23532af3e82d9bd96f357840118092b778fa87faf3832c833ab
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