Token Classification
Transformers
ONNX
English
openai_privacy_filter
pii-detection
pii-masking
onnxruntime
privacy
Instructions to use yasserrmd/privacy-filter-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yasserrmd/privacy-filter-ONNX with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yasserrmd/privacy-filter-ONNX")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yasserrmd/privacy-filter-ONNX") model = AutoModelForTokenClassification.from_pretrained("yasserrmd/privacy-filter-ONNX") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59f22360b51bf1a137fb80e14df310b4b249bed6cc64565aa0c401ca19ffcd04
- Size of remote file:
- 27.9 MB
- SHA256:
- 0614fe83cadab421296e664e1f48f4261fa8fef6e03e63bb75c20f38e37d07d3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.