Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use LazarusNLP/NusaBERT-base-POSP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LazarusNLP/NusaBERT-base-POSP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="LazarusNLP/NusaBERT-base-POSP")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("LazarusNLP/NusaBERT-base-POSP") model = AutoModelForTokenClassification.from_pretrained("LazarusNLP/NusaBERT-base-POSP", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from LazarusNLP/NusaBERT-base-POSP: direct link, hf CLI and curl.
- Browser
- Download file 984 kB
-
https://huggingface.co/LazarusNLP/NusaBERT-base-POSP/resolve/main/tokenizer.json
- Command line
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hf download hf://LazarusNLP/NusaBERT-base-POSP/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/LazarusNLP/NusaBERT-base-POSP/resolve/main/tokenizer.json
984 kB
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