Instructions to use Kevin201217/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kevin201217/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Kevin201217/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Kevin201217/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Kevin201217/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 483459d8ba2a9a7002f153b8e11b459db5fedea69d28bb8f27ac36a5d8e6dba7
- Size of remote file:
- 4.98 kB
- SHA256:
- 277977e5c692d5a335ea310d49bdbd7e51cdaf6aa5d6fd45adc053c391d84751
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