Instructions to use buerokratt/ner_gdpr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use buerokratt/ner_gdpr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="buerokratt/ner_gdpr")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("buerokratt/ner_gdpr") model = AutoModelForTokenClassification.from_pretrained("buerokratt/ner_gdpr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:1240f8b6e078554a307b10d322f70cf87642ba9562b99148853c79ab0c90686a
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size 495501304
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