Token Classification
Transformers
Safetensors
Indonesian
modernbert
Generated from Trainer
Eval Results (legacy)
Instructions to use nahiar/Nusa-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nahiar/Nusa-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nahiar/Nusa-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nahiar/Nusa-NER") model = AutoModelForTokenClassification.from_pretrained("nahiar/Nusa-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 705db81748a60e6ac474b217c49f77ae3728f0491dfd385b10833891cc780147
- Size of remote file:
- 5.37 kB
- SHA256:
- 84072a1b7f8c55ad76da5b704b6d031fbad8cfbaaf99f4c9b9605981df66296a
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