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:
- 0d8fdf3b572d96f66ca92f56f1af7479ae143d8526f6e9b169081f1fdc502851
- Size of remote file:
- 266 MB
- SHA256:
- 250c34edc0f52ea8f912f5c3668215daaa69e6325887180ba0278ffd8a77400a
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