Instructions to use yaojingguo/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yaojingguo/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yaojingguo/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yaojingguo/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("yaojingguo/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87392e2f39329343b0320913cbf8523b2694aaae1bd72544fbcc683e2544aa45
- Size of remote file:
- 4.92 kB
- SHA256:
- 2ab0e41ddfdfe647ca92cc4851cf3d74fa7fbb7c5e858f7e539da839d03081d2
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