Instructions to use LazarusNLP/NusaBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LazarusNLP/NusaBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="LazarusNLP/NusaBERT-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("LazarusNLP/NusaBERT-base") model = AutoModelForMaskedLM.from_pretrained("LazarusNLP/NusaBERT-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd17032432d4d02bd9993c83bc37b8d972f52725d4495b201ffc2b2aaf638573
- Size of remote file:
- 4.73 kB
- SHA256:
- 4dd6e1ac99ebd54b8292c973cd05cdfcae0fceae54709e9875d0510ffc4a06a1
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