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
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update model card README.md
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README.md
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This model is a fine-tuned version of [indobenchmark/indobert-base-p2](https://huggingface.co/indobenchmark/indobert-base-p2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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This model is a fine-tuned version of [indobenchmark/indobert-base-p2](https://huggingface.co/indobenchmark/indobert-base-p2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.6121
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| 5.9701 | 1.0 | 93 | 5.5903 |
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### Framework versions
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