Instructions to use ckiplab/bert-base-chinese-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ckiplab/bert-base-chinese-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ckiplab/bert-base-chinese-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ckiplab/bert-base-chinese-ner") model = AutoModelForTokenClassification.from_pretrained("ckiplab/bert-base-chinese-ner") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#5 opened over 1 year ago
by
SFconvertbot
Add tokenizer.json file
#4 opened about 3 years ago
by
Xenova
Adding `safetensors` variant of this model
#3 opened about 3 years ago
by
SFconvertbot