Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use ameliyea/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ameliyea/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ameliyea/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ameliyea/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("ameliyea/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26524a27ecf88268c1fc8c4e123c1b654ca93dac57eaabc53e62137a4f9fdad3
- Size of remote file:
- 5.84 kB
- SHA256:
- acc38528c254f8f9767472bcc8148ef0fb2f85f0bdfb2c44bcbb3ce60ce6a96f
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