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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("indolem/indobert-base-uncased") model = AutoModelForMaskedLM.from_pretrained("indolem/indobert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
1acd7b0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f8b5cef307af1f6953a241c7d993104418321ca56f7155681b0656f7a2bc62c3
size 444780374
|