Instructions to use VK1402/AADHAAR_Extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use VK1402/AADHAAR_Extractor with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("VK1402/AADHAAR_Extractor") text = "Cristiano Ronaldo dos Santos Aveiro was born on 5 February 1985 in Funchal, Madeira, Portugal." labels = ["person", "date", "location"] entities = model.predict_entities(text, labels) for entity in entities: print(entity["text"], "=>", entity["label"]) - Notebooks
- Google Colab
- Kaggle
Download config.json from VK1402/AADHAAR_Extractor: direct link, hf CLI and curl.
- Browser
- Download file 254 Bytes
-
https://huggingface.co/VK1402/AADHAAR_Extractor/resolve/main/config.json
- Command line
-
hf download hf://VK1402/AADHAAR_Extractor/config.json
-
curl -L -o config.json https://huggingface.co/VK1402/AADHAAR_Extractor/resolve/main/config.json
254 Bytes
| { | |
| "_attn_implementation_autoset": true, | |
| "counting_layer": "count_lstm_v2", | |
| "max_len": null, | |
| "max_width": 8, | |
| "model_name": "microsoft/deberta-v3-base", | |
| "model_type": "extractor", | |
| "token_pooling": "first", | |
| "transformers_version": "5.0.0" | |
| } | |