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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from indolem/indobert-base-uncased: direct link, hf CLI and curl.
- Browser
- Download file 445 MB
-
https://huggingface.co/indolem/indobert-base-uncased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://indolem/indobert-base-uncased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/indolem/indobert-base-uncased/resolve/main/pytorch_model.bin
445 MB
- Xet hash:
- 09210d12c09e4482d9f0a4e6e61782db626005a905bd9142e9ef664d6bf4e8ec
- Size of remote file:
- 445 MB
- SHA256:
- f8b5cef307af1f6953a241c7d993104418321ca56f7155681b0656f7a2bc62c3
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