Token Classification
GLiNER2
ONNX
GLiNER
Rust
pii
ner
privacy
redaction
information-extraction
span-extraction
iobinding
Instructions to use SemplificaAI/gliner2-privacy-filter-PII-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use SemplificaAI/gliner2-privacy-filter-PII-multi with GLiNER2:
from gliner2 import GLiNER2 model = GLiNER2.from_pretrained("SemplificaAI/gliner2-privacy-filter-PII-multi") # Extract entities text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday." result = extractor.extract_entities(text, ["company", "person", "product", "location"]) print(result) - GLiNER
How to use SemplificaAI/gliner2-privacy-filter-PII-multi with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("SemplificaAI/gliner2-privacy-filter-PII-multi") - Notebooks
- Google Colab
- Kaggle
Restructure into fp16_v2/ and fp32_v2/ subfolders (required by gliner2-rs from_pretrained)
3bbf02b verified - Xet hash:
- 5cfc61ff6ae21af61851e4607c429f46a921379bb457bf3f3241d20e4e52ba7c
- Size of remote file:
- 4.73 MB
- SHA256:
- a59406b58c7bb448174c8df32b46d82e1b77b64bcb497da5b481836600ff3ad9
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