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 pytorch_model.bin from phi0108/ner: direct link, hf CLI and curl.
- Browser
- Download file 266 MB
-
https://huggingface.co/phi0108/ner/resolve/0531b9fa957632f8ab0323241bbc716eefc75cbb/pytorch_model.bin
- Command line
-
hf download hf://phi0108/ner@0531b9fa957632f8ab0323241bbc716eefc75cbb/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/phi0108/ner/resolve/0531b9fa957632f8ab0323241bbc716eefc75cbb/pytorch_model.bin
266 MB
- Xet hash:
- a90dd2d9f76a913605da75ef4c33f0e3db083f96f95b1cf9514d1a8dfb63f7d7
- Size of remote file:
- 266 MB
- SHA256:
- f369c984b8a6270566394911c2584c18d77268789ae2317d7959e9bb57173e81
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