Instructions to use LazarusNLP/NusaBERT-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LazarusNLP/NusaBERT-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="LazarusNLP/NusaBERT-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("LazarusNLP/NusaBERT-large") model = AutoModelForMaskedLM.from_pretrained("LazarusNLP/NusaBERT-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6b47ad923b5a32ab3b1e7c25ff07e176c00de1cc4cd4ecb5c9d422fe83e5009
- Size of remote file:
- 4.92 kB
- SHA256:
- 60521d7d1058d86b24ce57ca899d27301a48b735f970177bf11286fdbe43e01f
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