Instructions to use cahya/bert-base-indonesian-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cahya/bert-base-indonesian-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cahya/bert-base-indonesian-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cahya/bert-base-indonesian-NER") model = AutoModelForTokenClassification.from_pretrained("cahya/bert-base-indonesian-NER") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1f6dd3a92af3ed8742700982acc085f0a0d8c6ffe64ff2bb7aa1f379764c6d2
- Size of remote file:
- 443 MB
- SHA256:
- dc1b3af2f0327f4c2a16b0dc8630e5e19095493ec1bf61bd78495924187295a5
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