Text Classification
PEFT
Safetensors
English
entity-matching
person-name-matching
record-linkage
deduplication
lora
deberta-v3
Instructions to use LessLM/person-name-match-likelihood-v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LessLM/person-name-match-likelihood-v6 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli") model = PeftModel.from_pretrained(base_model, "LessLM/person-name-match-likelihood-v6") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": true, | |
| "backend": "tokenizers", | |
| "bos_token": "[CLS]", | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "[CLS]", | |
| "do_lower_case": false, | |
| "eos_token": "[SEP]", | |
| "extra_special_tokens": [ | |
| "[FIRST]", | |
| "[LAST]", | |
| "[TITLE]", | |
| "[SUFFIX]", | |
| "[NICK]", | |
| "[MIDDLE]", | |
| "[LEGAL]", | |
| "[ABBREV]", | |
| "[TRADE]" | |
| ], | |
| "is_local": false, | |
| "mask_token": "[MASK]", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "sp_model_kwargs": {}, | |
| "split_by_punct": false, | |
| "tokenizer_class": "DebertaV2Tokenizer", | |
| "unk_id": 3, | |
| "unk_token": "[UNK]", | |
| "vocab_type": "spm" | |
| } | |