Token Classification
Transformers
Safetensors
Malay
Brunei
xlm-roberta
brunei-malay
standard-malay
text-normalization
constrained-editing
Instructions to use ssh2025/brunei-malay-normalizer-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ssh2025/brunei-malay-normalizer-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ssh2025/brunei-malay-normalizer-v3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ssh2025/brunei-malay-normalizer-v3") model = AutoModelForTokenClassification.from_pretrained("ssh2025/brunei-malay-normalizer-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
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