Instructions to use perceptron01/privacyshield-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use perceptron01/privacyshield-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="perceptron01/privacyshield-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("perceptron01/privacyshield-ner") model = AutoModelForTokenClassification.from_pretrained("perceptron01/privacyshield-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7628c4846574856023ae04b7a75f26de9d5a66c1f7ad05583871a5308c3ceb91
- Size of remote file:
- 5.2 kB
- SHA256:
- 6d78ab14cfc5c839fbbd052427c5df90d1ab0c15e3db9f39aece11dae856686e
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