Instructions to use netrialiarahmi/Indo-LegalBERT-V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use netrialiarahmi/Indo-LegalBERT-V3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="netrialiarahmi/Indo-LegalBERT-V3")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("netrialiarahmi/Indo-LegalBERT-V3") model = AutoModelForMaskedLM.from_pretrained("netrialiarahmi/Indo-LegalBERT-V3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 954e9ed40cc5d268b535dd9ea9110720a4325691790b33b771b3f69e69b5b1aa
- Size of remote file:
- 5.84 kB
- SHA256:
- fc6f0b7f0a9fc8abfad14ec3e0e8ca4a0ca54d92372fa72aa1200bd5585cc808
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