Instructions to use ckiplab/bert-base-chinese-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ckiplab/bert-base-chinese-pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ckiplab/bert-base-chinese-pos")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ckiplab/bert-base-chinese-pos") model = AutoModelForTokenClassification.from_pretrained("ckiplab/bert-base-chinese-pos") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0307b9aaf71987f4180d06a62614406b89c8064fa865a0c047b14c21357a04d
- Size of remote file:
- 407 MB
- SHA256:
- d6a92fea0152c75b4154357ebdeb22c00b8f46f9750c8421e29643880da9a31a
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