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:
- 2af490cd605e93b3a42c5ff0cd835b4329c7d31eb59e14dc52391fbdc1e4911b
- Size of remote file:
- 431 MB
- SHA256:
- 308ce63d5cc47fb781bcbd9d30cb3cb76e07b1e139733ea9ecaa222e351a78b0
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