Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use HolmesS/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HolmesS/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HolmesS/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HolmesS/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("HolmesS/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad0966dfe28d312f4fb3d62cd59148359d29b301c3eeea9597b647652bfa7628
- Size of remote file:
- 5.3 kB
- SHA256:
- 2f31d34b8c8cbb3a39947fde1f7304aa3bdcb0d4fac41a8e2f38373d7be97c64
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