Instructions to use hon9kon9ize/ModernCantoneseBert-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hon9kon9ize/ModernCantoneseBert-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hon9kon9ize/ModernCantoneseBert-Base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hon9kon9ize/ModernCantoneseBert-Base") model = AutoModelForMaskedLM.from_pretrained("hon9kon9ize/ModernCantoneseBert-Base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3052a76c2c403e9db86baf0b8eac17dff24d84ee6f478f89c126b73ea4dd9ee3
- Size of remote file:
- 536 MB
- SHA256:
- aff5852c14b422bf8c5df4ee44f954e90fa16a79e47eb3d05464e4bb4474c8a5
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