Instructions to use hibikigf88/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hibikigf88/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hibikigf88/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hibikigf88/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("hibikigf88/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39cc7013459b6eb7281b178fd9628668cc42dcd946e1bb4e6e08790a9dc95377
- Size of remote file:
- 5.71 kB
- SHA256:
- 3182818608f8cac13bc8ac8e65857fc9c9b02ff461729860c3b52a6fc6805b61
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