Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use johnyyhk/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use johnyyhk/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="johnyyhk/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("johnyyhk/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("johnyyhk/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06985fcf979a3e2ed45c9e702144da9d693098bc4fe0e634379cfc302938985b
- Size of remote file:
- 3.9 kB
- SHA256:
- 0d2ba10c2af1be5964061aa94ae3bc32b8d87c6fa1610d847ebf8088bcf0939d
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