Instructions to use deepaksiloka/PII-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepaksiloka/PII-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="deepaksiloka/PII-Detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("deepaksiloka/PII-Detection") model = AutoModelForTokenClassification.from_pretrained("deepaksiloka/PII-Detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from deepaksiloka/PII-Detection: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/deepaksiloka/PII-Detection/resolve/main/training_args.bin
- Command line
-
hf download hf://deepaksiloka/PII-Detection/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/deepaksiloka/PII-Detection/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- d9a4fc1c37b3d543be598124fb5924fde89bbc45ed28e09cb328073b8741890c
- Size of remote file:
- 5.24 kB
- SHA256:
- df3f7d2364b8b396d5091159da974f798d6a6cb80ca5a5eaf7254f6c09c63a9f
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