Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use hzSSS/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hzSSS/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hzSSS/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hzSSS/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("hzSSS/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d3473ded850ae0c3b70f4694b465f4033a6d81863b9aaf0dfe954858d4cbb2a
- Size of remote file:
- 4.98 kB
- SHA256:
- 75368a220c92cde26c8028e129b8f146d05760c95ad611ec03265f0f02da260e
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