Instructions to use archi-ai/Indo-LegalBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use archi-ai/Indo-LegalBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="archi-ai/Indo-LegalBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("archi-ai/Indo-LegalBERT") model = AutoModelForMaskedLM.from_pretrained("archi-ai/Indo-LegalBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61224c76867d60a14565af10f351c1387fd587cf8060977deeed8b1c939b5486
- Size of remote file:
- 4.03 kB
- SHA256:
- b1589b9fe54bfb8a5ebac45e633913ff53297ad92cfee2c28cccc675ec65e2ea
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.