Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use real-jiakai/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use real-jiakai/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="real-jiakai/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("real-jiakai/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("real-jiakai/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a252bfddb9084b37303fd797e7244829f23c2c1552cdbe5707f90ccdff9b0902
- Size of remote file:
- 5.3 kB
- SHA256:
- b0cc9c6892842daca6920316f7c9113e3a84bce10c992f4a1d113d97c3b2f5a2
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