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:
- 7250e565def25ed598a8ac194fb0974c042feb56e7b2b550fe0d76ce64b7e5b4
- Size of remote file:
- 183 MB
- SHA256:
- e48efa626ca25e8aa7994ad02712330da78f77af944483a00a72625d88b74ee9
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