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:
- b956165322411a6fa01a91faa624f5663f002d48d82beab9d2a8ed39b8487019
- Size of remote file:
- 2.37 MB
- SHA256:
- 05496dbc57d06ae19a41ee740419880baf00c704ce78ced483732703ce336a6c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.