Token Classification
GLiNER
ONNX
German
English
extractor
ner
zero-shot
pii-detection
privacy
multilingual
quantized
edge
Instructions to use patronus-studio/gliner2-multi-edge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use patronus-studio/gliner2-multi-edge with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("patronus-studio/gliner2-multi-edge") - Notebooks
- Google Colab
- Kaggle
| # Generated from model/s: | |
| # - /Users/benediktveith/Documents/Uni/Semester 7/Playground/models/quant_rust/classifier_int8.ort | |
| # - /Users/benediktveith/Documents/Uni/Semester 7/Playground/models/quant_rust/count_lstm_int8.ort | |
| # - /Users/benediktveith/Documents/Uni/Semester 7/Playground/models/quant_rust/count_pred_int8.ort | |
| # - /Users/benediktveith/Documents/Uni/Semester 7/Playground/models/quant_rust/encoder_int8_int4.ort | |
| # - /Users/benediktveith/Documents/Uni/Semester 7/Playground/models/quant_rust/span_rep_int8.ort | |
| ai.onnx;1;Not | |
| ai.onnx;7;And | |
| ai.onnx;9;Where | |
| ai.onnx;11;DynamicQuantizeLinear,Range | |
| ai.onnx;13;Abs,Ceil,Clip,Concat,Equal,Expand,Gather,GatherElements,Greater,Less,Log,MatMul,Neg,Shape,Sigmoid,Sign,Slice,Softmax,Sqrt,Squeeze,Tanh,Tile,Unsqueeze | |
| ai.onnx;14;Add,Div,Mul,Relu,Reshape,Sub | |
| ai.onnx;16;LessOrEqual,Where | |
| ai.onnx;17;LayerNormalization | |
| ai.onnx;19;Equal | |
| ai.onnx;20;Gelu | |
| ai.onnx;21;Cast,Identity,If,Reshape,Shape,Squeeze,Transpose,Unsqueeze | |
| com.microsoft;1;DynamicQuantizeMatMul,FusedMatMul,GatherBlockQuantized,MatMulIntegerToFloat | |