Instructions to use indiejoseph/bert-base-cantonese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use indiejoseph/bert-base-cantonese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="indiejoseph/bert-base-cantonese")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("indiejoseph/bert-base-cantonese") model = AutoModelForMaskedLM.from_pretrained("indiejoseph/bert-base-cantonese", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67bd443a8651805ebe3101d4d1856544d2a9a3e0e809f6ad7eb1689337d425dc
- Size of remote file:
- 4.54 kB
- SHA256:
- ec100d7d89a741aed84c57ca5255007acf6b309ea48e008f8cbf0f5136cb8976
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