Instructions to use arraypowerplay/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arraypowerplay/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arraypowerplay/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("arraypowerplay/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("arraypowerplay/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd54bc88e5871198700a1dd04ff9881a7ba1c5246819318e81da7eaa0c5d6e6d
- Size of remote file:
- 431 MB
- SHA256:
- 87994dc9807ae45b92ebe315b3118ee3f19231524c8fbeed9fd4093bc5f2f1fc
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