Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use abrahammdson/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abrahammdson/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="abrahammdson/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("abrahammdson/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("abrahammdson/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b691f2fb0118dd4cfee5f8c1bde5642ff80b1ccf4a745705d036617d31587a1
- Size of remote file:
- 5.3 kB
- SHA256:
- c6b9b3c9202a9b5fcca1d15083c5be21388bb028fc7eb7b91b06be008f1f28a7
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