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:
- 7a2aee8122470d0dcb18f6336c2494eda3e722b30995a81bc1467d072bf55e76
- Size of remote file:
- 4.98 kB
- SHA256:
- 2dfce4f8db85d2c66e754f6b798d53343abf13e4e70e588868a4aa509f68d596
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