Token Classification
Transformers
Safetensors
PyTorch
Italian
camembert
ner
italian
bert
pii
pii-detection
anonymization
gdpr
privacy
Instructions to use lcs06/nerone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lcs06/nerone with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lcs06/nerone")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lcs06/nerone") model = AutoModelForTokenClassification.from_pretrained("lcs06/nerone", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- fff83c9f954c86df87f901223651511e365fdc1d09da678194e5f12717c2a38d
- Size of remote file:
- 236 kB
- SHA256:
- cfc3f4dfefb5111c49bc351bc44c92b1f022d48cafbabd2594c03c52d36b4e15
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