Instructions to use indolem/indobert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use indolem/indobert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="indolem/indobert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("indolem/indobert-base-uncased") model = AutoModelForMaskedLM.from_pretrained("indolem/indobert-base-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c07e3ce868b282e619dde71e41200e6b998ff04ef7300f0d0bd030f561c9887f
- Size of remote file:
- 442 MB
- SHA256:
- a0065fd621e6c0563fc9f8dde4a34f6a7a21f11e6ce3eb7fed6d17001bfbd393
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