Instructions to use RoyArkh/deberta-base-pii-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RoyArkh/deberta-base-pii-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RoyArkh/deberta-base-pii-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RoyArkh/deberta-base-pii-ner") model = AutoModelForTokenClassification.from_pretrained("RoyArkh/deberta-base-pii-ner") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "DebertaForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 1, | |
| "dtype": "float32", | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "O", | |
| "1": "B-BOD", | |
| "2": "I-BOD", | |
| "3": "B-BUILDING", | |
| "4": "I-BUILDING", | |
| "5": "B-CITY", | |
| "6": "I-CITY", | |
| "7": "B-COUNTRY", | |
| "8": "I-COUNTRY", | |
| "9": "B-DATE", | |
| "10": "I-DATE", | |
| "11": "B-DRIVERLICENSE", | |
| "12": "I-DRIVERLICENSE", | |
| "13": "B-EMAIL", | |
| "14": "I-EMAIL", | |
| "15": "B-GIVENNAME1", | |
| "16": "I-GIVENNAME1", | |
| "17": "B-GIVENNAME2", | |
| "18": "I-GIVENNAME2", | |
| "19": "B-IDCARD", | |
| "20": "I-IDCARD", | |
| "21": "B-IP", | |
| "22": "I-IP", | |
| "23": "B-LASTNAME1", | |
| "24": "I-LASTNAME1", | |
| "25": "B-LASTNAME2", | |
| "26": "I-LASTNAME2", | |
| "27": "B-LASTNAME3", | |
| "28": "I-LASTNAME3", | |
| "29": "B-PASS", | |
| "30": "I-PASS", | |
| "31": "B-PASSPORT", | |
| "32": "I-PASSPORT", | |
| "33": "B-POSTCODE", | |
| "34": "I-POSTCODE", | |
| "35": "B-SEX", | |
| "36": "I-SEX", | |
| "37": "B-SOCIALNUMBER", | |
| "38": "I-SOCIALNUMBER", | |
| "39": "B-STATE", | |
| "40": "I-STATE", | |
| "41": "B-STREET", | |
| "42": "I-STREET", | |
| "43": "B-TEL", | |
| "44": "I-TEL", | |
| "45": "B-TIME", | |
| "46": "I-TIME", | |
| "47": "B-TITLE", | |
| "48": "I-TITLE", | |
| "49": "B-USERNAME", | |
| "50": "I-USERNAME" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "B-BOD": 1, | |
| "B-BUILDING": 3, | |
| "B-CITY": 5, | |
| "B-COUNTRY": 7, | |
| "B-DATE": 9, | |
| "B-DRIVERLICENSE": 11, | |
| "B-EMAIL": 13, | |
| "B-GIVENNAME1": 15, | |
| "B-GIVENNAME2": 17, | |
| "B-IDCARD": 19, | |
| "B-IP": 21, | |
| "B-LASTNAME1": 23, | |
| "B-LASTNAME2": 25, | |
| "B-LASTNAME3": 27, | |
| "B-PASS": 29, | |
| "B-PASSPORT": 31, | |
| "B-POSTCODE": 33, | |
| "B-SEX": 35, | |
| "B-SOCIALNUMBER": 37, | |
| "B-STATE": 39, | |
| "B-STREET": 41, | |
| "B-TEL": 43, | |
| "B-TIME": 45, | |
| "B-TITLE": 47, | |
| "B-USERNAME": 49, | |
| "I-BOD": 2, | |
| "I-BUILDING": 4, | |
| "I-CITY": 6, | |
| "I-COUNTRY": 8, | |
| "I-DATE": 10, | |
| "I-DRIVERLICENSE": 12, | |
| "I-EMAIL": 14, | |
| "I-GIVENNAME1": 16, | |
| "I-GIVENNAME2": 18, | |
| "I-IDCARD": 20, | |
| "I-IP": 22, | |
| "I-LASTNAME1": 24, | |
| "I-LASTNAME2": 26, | |
| "I-LASTNAME3": 28, | |
| "I-PASS": 30, | |
| "I-PASSPORT": 32, | |
| "I-POSTCODE": 34, | |
| "I-SEX": 36, | |
| "I-SOCIALNUMBER": 38, | |
| "I-STATE": 40, | |
| "I-STREET": 42, | |
| "I-TEL": 44, | |
| "I-TIME": 46, | |
| "I-TITLE": 48, | |
| "I-USERNAME": 50, | |
| "O": 0 | |
| }, | |
| "layer_norm_eps": 1e-07, | |
| "legacy": true, | |
| "max_position_embeddings": 512, | |
| "max_relative_positions": -1, | |
| "model_type": "deberta", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "pooler_dropout": 0.0, | |
| "pooler_hidden_act": "gelu", | |
| "pooler_hidden_size": 768, | |
| "pos_att_type": [ | |
| "c2p", | |
| "p2c" | |
| ], | |
| "position_biased_input": false, | |
| "relative_attention": true, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.5.4", | |
| "type_vocab_size": 0, | |
| "vocab_size": 50265 | |
| } | |