Instructions to use townboy/kpfbert-kdpii with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use townboy/kpfbert-kdpii with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="townboy/kpfbert-kdpii")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("townboy/kpfbert-kdpii") model = AutoModelForTokenClassification.from_pretrained("townboy/kpfbert-kdpii") - Notebooks
- Google Colab
- Kaggle
| { | |
| "adam_epsilon": 1e-08, | |
| "add_cross_attention": false, | |
| "architectures": [ | |
| "BertForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "batch_size": 32, | |
| "bos_token_id": null, | |
| "classifier_dropout": null, | |
| "device": "cuda", | |
| "dtype": "float32", | |
| "eos_token_id": null, | |
| "epoch": 30, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "O", | |
| "1": "B-CV_MILITARY_CAMP", | |
| "2": "I-CV_MILITARY_CAMP", | |
| "3": "B-CV_POSITION", | |
| "4": "I-CV_POSITION", | |
| "5": "B-CV_SEX", | |
| "6": "I-CV_SEX", | |
| "7": "B-DT_BIRTH", | |
| "8": "I-DT_BIRTH", | |
| "9": "B-FD_MAJOR", | |
| "10": "I-FD_MAJOR", | |
| "11": "B-LCP_COUNTRY", | |
| "12": "I-LCP_COUNTRY", | |
| "13": "B-LC_ADDRESS", | |
| "14": "I-LC_ADDRESS", | |
| "15": "B-LC_PLACE", | |
| "16": "I-LC_PLACE", | |
| "17": "B-OGG_CLUB", | |
| "18": "I-OGG_CLUB", | |
| "19": "B-OGG_EDUCATION", | |
| "20": "I-OGG_EDUCATION", | |
| "21": "B-OGG_RELIGION", | |
| "22": "I-OGG_RELIGION", | |
| "23": "B-OG_DEPARTMENT", | |
| "24": "I-OG_DEPARTMENT", | |
| "25": "B-OG_WORKPLACE", | |
| "26": "I-OG_WORKPLACE", | |
| "27": "B-PS_ID", | |
| "28": "I-PS_ID", | |
| "29": "B-PS_NAME", | |
| "30": "I-PS_NAME", | |
| "31": "B-PS_NICKNAME", | |
| "32": "I-PS_NICKNAME", | |
| "33": "B-QT_ACCOUNT_NUMBER", | |
| "34": "I-QT_ACCOUNT_NUMBER", | |
| "35": "B-QT_AGE", | |
| "36": "I-QT_AGE", | |
| "37": "B-QT_ALIEN_NUMBER", | |
| "38": "I-QT_ALIEN_NUMBER", | |
| "39": "B-QT_CARD_NUMBER", | |
| "40": "I-QT_CARD_NUMBER", | |
| "41": "B-QT_DRIVER_NUMBER", | |
| "42": "I-QT_DRIVER_NUMBER", | |
| "43": "B-QT_GRADE", | |
| "44": "I-QT_GRADE", | |
| "45": "B-QT_IP", | |
| "46": "I-QT_IP", | |
| "47": "B-QT_LENGTH", | |
| "48": "I-QT_LENGTH", | |
| "49": "B-QT_MOBILE", | |
| "50": "I-QT_MOBILE", | |
| "51": "B-QT_PASSPORT_NUMBER", | |
| "52": "I-QT_PASSPORT_NUMBER", | |
| "53": "B-QT_PHONE", | |
| "54": "I-QT_PHONE", | |
| "55": "B-QT_PLATE_NUMBER", | |
| "56": "I-QT_PLATE_NUMBER", | |
| "57": "B-QT_RESIDENT_NUMBER", | |
| "58": "I-QT_RESIDENT_NUMBER", | |
| "59": "B-QT_WEIGHT", | |
| "60": "I-QT_WEIGHT", | |
| "61": "B-TMI_EMAIL", | |
| "62": "I-TMI_EMAIL", | |
| "63": "B-TMI_SITE", | |
| "64": "I-TMI_SITE", | |
| "65": "B-TM_BLOOD_TYPE", | |
| "66": "I-TM_BLOOD_TYPE" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_hidden_size": 768, | |
| "intermediate_size": 3072, | |
| "is_decoder": false, | |
| "label2id": { | |
| "B-CV_MILITARY_CAMP": 1, | |
| "B-CV_POSITION": 3, | |
| "B-CV_SEX": 5, | |
| "B-DT_BIRTH": 7, | |
| "B-FD_MAJOR": 9, | |
| "B-LCP_COUNTRY": 11, | |
| "B-LC_ADDRESS": 13, | |
| "B-LC_PLACE": 15, | |
| "B-OGG_CLUB": 17, | |
| "B-OGG_EDUCATION": 19, | |
| "B-OGG_RELIGION": 21, | |
| "B-OG_DEPARTMENT": 23, | |
| "B-OG_WORKPLACE": 25, | |
| "B-PS_ID": 27, | |
| "B-PS_NAME": 29, | |
| "B-PS_NICKNAME": 31, | |
| "B-QT_ACCOUNT_NUMBER": 33, | |
| "B-QT_AGE": 35, | |
| "B-QT_ALIEN_NUMBER": 37, | |
| "B-QT_CARD_NUMBER": 39, | |
| "B-QT_DRIVER_NUMBER": 41, | |
| "B-QT_GRADE": 43, | |
| "B-QT_IP": 45, | |
| "B-QT_LENGTH": 47, | |
| "B-QT_MOBILE": 49, | |
| "B-QT_PASSPORT_NUMBER": 51, | |
| "B-QT_PHONE": 53, | |
| "B-QT_PLATE_NUMBER": 55, | |
| "B-QT_RESIDENT_NUMBER": 57, | |
| "B-QT_WEIGHT": 59, | |
| "B-TMI_EMAIL": 61, | |
| "B-TMI_SITE": 63, | |
| "B-TM_BLOOD_TYPE": 65, | |
| "I-CV_MILITARY_CAMP": 2, | |
| "I-CV_POSITION": 4, | |
| "I-CV_SEX": 6, | |
| "I-DT_BIRTH": 8, | |
| "I-FD_MAJOR": 10, | |
| "I-LCP_COUNTRY": 12, | |
| "I-LC_ADDRESS": 14, | |
| "I-LC_PLACE": 16, | |
| "I-OGG_CLUB": 18, | |
| "I-OGG_EDUCATION": 20, | |
| "I-OGG_RELIGION": 22, | |
| "I-OG_DEPARTMENT": 24, | |
| "I-OG_WORKPLACE": 26, | |
| "I-PS_ID": 28, | |
| "I-PS_NAME": 30, | |
| "I-PS_NICKNAME": 32, | |
| "I-QT_ACCOUNT_NUMBER": 34, | |
| "I-QT_AGE": 36, | |
| "I-QT_ALIEN_NUMBER": 38, | |
| "I-QT_CARD_NUMBER": 40, | |
| "I-QT_DRIVER_NUMBER": 42, | |
| "I-QT_GRADE": 44, | |
| "I-QT_IP": 46, | |
| "I-QT_LENGTH": 48, | |
| "I-QT_MOBILE": 50, | |
| "I-QT_PASSPORT_NUMBER": 52, | |
| "I-QT_PHONE": 54, | |
| "I-QT_PLATE_NUMBER": 56, | |
| "I-QT_RESIDENT_NUMBER": 58, | |
| "I-QT_WEIGHT": 60, | |
| "I-TMI_EMAIL": 62, | |
| "I-TMI_SITE": 64, | |
| "I-TM_BLOOD_TYPE": 66, | |
| "O": 0 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "learning_rate": 0.005, | |
| "max_grad_norm": 1.0, | |
| "max_position_embeddings": 512, | |
| "max_seq_len": 120, | |
| "model_name": "kpfbert", | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "seed": 1000, | |
| "test_data": "21_150tags_EntityLinking", | |
| "tie_word_embeddings": true, | |
| "train_data": "21_150tags_EntityLinking", | |
| "transformers_version": "5.5.3", | |
| "type_vocab_size": 2, | |
| "use_cache": false, | |
| "vocab_size": 36440 | |
| } | |