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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("phi0108/ner") model = AutoModelForTokenClassification.from_pretrained("phi0108/ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from phi0108/ner: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/phi0108/ner/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://phi0108/ner@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/phi0108/ner/resolve/refs%2Fpr%2F1/training_args.bin
3.52 kB
- Xet hash:
- 936622c9f2cccbecff03ab810ad00dc10276b3b5b72bf1fda46a7e9301c9c2ad
- Size of remote file:
- 3.52 kB
- SHA256:
- 60e10214ca5ee56424da7d975b8afb9d343bc781b2a6aea0e9e15478f28c39b5
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