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") - Notebooks
- Google Colab
- Kaggle
File size: 678 Bytes
7059e83 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | {
"backend": "tokenizers",
"bos_token": "[CLS]",
"clean_up_tokenization_spaces": false,
"cls_token": "[CLS]",
"do_lower_case": false,
"eos_token": "[SEP]",
"extra_special_tokens": [
"[SEP_STRUCT]",
"[SEP_TEXT]",
"[P]",
"[C]",
"[E]",
"[R]",
"[L]",
"[EXAMPLE]",
"[OUTPUT]",
"[DESCRIPTION]"
],
"is_local": false,
"mask_token": "[MASK]",
"model_max_length": 1000000000000000019884624838656,
"model_specific_special_tokens": {},
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"sp_model_kwargs": {},
"split_by_punct": false,
"tokenizer_class": "TokenizersBackend",
"unk_token": "[UNK]",
"vocab_type": "spm"
}
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