Instructions to use PaDaS-Lab/gdpr-privacy-policy-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PaDaS-Lab/gdpr-privacy-policy-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PaDaS-Lab/gdpr-privacy-policy-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("PaDaS-Lab/gdpr-privacy-policy-ner") model = AutoModelForTokenClassification.from_pretrained("PaDaS-Lab/gdpr-privacy-policy-ner", device_map="auto") - 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 sha256:1ee34c01ed8c281643d451eb22b80a737b776ccc661d4f089b9695074f73ef41
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size 431115416
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