Instructions to use ckiplab/bert-base-han-chinese-ws-zhonggu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ckiplab/bert-base-han-chinese-ws-zhonggu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ckiplab/bert-base-han-chinese-ws-zhonggu")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ckiplab/bert-base-han-chinese-ws-zhonggu") model = AutoModelForTokenClassification.from_pretrained("ckiplab/bert-base-han-chinese-ws-zhonggu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ckiplab/bert-base-han-chinese-ws-zhonggu: direct link, hf CLI and curl.
- Browser
- Download file 2.01 MB
-
https://huggingface.co/ckiplab/bert-base-han-chinese-ws-zhonggu/resolve/main/tokenizer.json
- Command line
-
hf download hf://ckiplab/bert-base-han-chinese-ws-zhonggu/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ckiplab/bert-base-han-chinese-ws-zhonggu/resolve/main/tokenizer.json
2.01 MB
File too large to display, you can check the raw version instead.