Instructions to use ckiplab/bert-tiny-chinese-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ckiplab/bert-tiny-chinese-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ckiplab/bert-tiny-chinese-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ckiplab/bert-tiny-chinese-ner") model = AutoModelForTokenClassification.from_pretrained("ckiplab/bert-tiny-chinese-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3059bea1a878c39adbeec3a82fd9203ee53c24b184020a7064f43d2e9b8a619
- Size of remote file:
- 45.9 MB
- SHA256:
- b42dfb2bf2752be7885dcbd0fbf8b2954bd07948645925df1ba569514c6f4a7e
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