Token Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use phi0108/ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phi0108/ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="phi0108/ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("phi0108/ner") model = AutoModelForTokenClassification.from_pretrained("phi0108/ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4c3b38350d285a0f41913a4db6cc2f827d17acb24bfd11c3e2142d477d03d50
- Size of remote file:
- 266 MB
- SHA256:
- 17f3e9d50312538ff5b1e2adcd96b250b4bb83d02ecfea01c5cf3d93cf9499e3
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