Instructions to use kndtran/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kndtran/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kndtran/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kndtran/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("kndtran/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf61095beccb9469fe89572632f3490f05f00b051e4392f2e8ba3641553d055b
- Size of remote file:
- 431 MB
- SHA256:
- ad458903e6de75007fc7d1b857f02161df9089b99e5e7dd9bcb4014f5f3cfc03
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