Instructions to use brad1141/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brad1141/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="brad1141/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("brad1141/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("brad1141/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0ea8298e196e8fae06e3dc97ccb47cb56662b47f0c1e20af808c72281161ab7
- Size of remote file:
- 2.99 kB
- SHA256:
- 4f1b09a018264279c19a519e4bfd4c69c01a9a746467e4fa0b6ec62ecc3bb96c
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