Instructions to use ckiplab/bert-base-chinese-ws with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ckiplab/bert-base-chinese-ws with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ckiplab/bert-base-chinese-ws")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ckiplab/bert-base-chinese-ws") model = AutoModelForTokenClassification.from_pretrained("ckiplab/bert-base-chinese-ws") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60043ce57835337d4827e45760f4c1e65b9832410f7ae26119babfe4d48dd8f6
- Size of remote file:
- 407 MB
- SHA256:
- a2e80cc22a0be534e1de7bd8aad55065fb5a2fe4cf982488a3ef77597961cd17
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