Instructions to use hon9kon9ize/bert-large-cantonese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hon9kon9ize/bert-large-cantonese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hon9kon9ize/bert-large-cantonese")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hon9kon9ize/bert-large-cantonese") model = AutoModelForMaskedLM.from_pretrained("hon9kon9ize/bert-large-cantonese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hon9kon9ize/bert-large-cantonese: direct link, hf CLI and curl.
- Browser
- Download file 529 kB
-
https://huggingface.co/hon9kon9ize/bert-large-cantonese/resolve/main/tokenizer.json
- Command line
-
hf download hf://hon9kon9ize/bert-large-cantonese/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hon9kon9ize/bert-large-cantonese/resolve/main/tokenizer.json
529 kB
File too large to display, you can check the raw version instead.