GLiNER
infonex
extractor
information-extraction
infon
ner
relation-extraction
polarity
automotive
fp16
Instructions to use cp500/infon-extract with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use cp500/infon-extract with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("cp500/infon-extract") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_attn_implementation_autoset": true, | |
| "counting_layer": "count_lstm", | |
| "max_len": null, | |
| "max_width": 8, | |
| "model_name": "microsoft/mdeberta-v3-base", | |
| "model_type": "extractor", | |
| "token_pooling": "first", | |
| "transformers_version": "5.6.2" | |
| } | |