Token Classification
GLiNER
ONNX
English
multilingual
ner
social-media
username-extraction
int8
quantized
cpu
Instructions to use LumeData/HandleAtlas-166m-CPU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use LumeData/HandleAtlas-166m-CPU with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("LumeData/HandleAtlas-166m-CPU") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35bd88c4fa6af551bc9e53dd047d30d2cfce725ef3a31eb3ed27258d0ebb03af
- Size of remote file:
- 611 MB
- SHA256:
- 5126022b497c3ec8311f8836a7d25aacd0ada842fb2dca55c78614e830e06cac
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