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
| { | |
| "bos_token": "[CLS]", | |
| "cls_token": "[CLS]", | |
| "eos_token": "[SEP]", | |
| "mask_token": "[MASK]", | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "unk_token": { | |
| "content": "[UNK]", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |