Instructions to use Yuhthe/ner-bert-base-phoner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yuhthe/ner-bert-base-phoner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Yuhthe/ner-bert-base-phoner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Yuhthe/ner-bert-base-phoner") model = AutoModelForTokenClassification.from_pretrained("Yuhthe/ner-bert-base-phoner") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f9296e49ab6a70eecd50421627acf15e2cbac8145955842364250ee4f0436158
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size 496308684
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