Instructions to use ckiplab/bert-base-han-chinese-pos-jindai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ckiplab/bert-base-han-chinese-pos-jindai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ckiplab/bert-base-han-chinese-pos-jindai")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ckiplab/bert-base-han-chinese-pos-jindai") model = AutoModelForTokenClassification.from_pretrained("ckiplab/bert-base-han-chinese-pos-jindai", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from ckiplab/bert-base-han-chinese-pos-jindai: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/ckiplab/bert-base-han-chinese-pos-jindai/resolve/main/config.json
- Command line
-
hf download hf://ckiplab/bert-base-han-chinese-pos-jindai/config.json
-
curl -L -o config.json https://huggingface.co/ckiplab/bert-base-han-chinese-pos-jindai/resolve/main/config.json
4.22 kB
| { | |
| "_name_or_path": "hub/ckiplab/bert-base-chinese-20210817-001848", | |
| "architectures": [ | |
| "BertForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "directionality": "bidi", | |
| "finetuning_task": "ner", | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "label2id": { | |
| "/Na": 88, | |
| "3": 72, | |
| "A": 46, | |
| "CE": 82, | |
| "COLONCATEGORY": 11, | |
| "COMMACATEGORY": 0, | |
| "Caa": 56, | |
| "Cbb": 33, | |
| "D": 96, | |
| "DASHCATEGORY": 63, | |
| "DE": 24, | |
| "Daa": 38, | |
| "Dab": 39, | |
| "Dba": 54, | |
| "Dbb": 35, | |
| "Dc": 18, | |
| "Dd": 22, | |
| "Df": 95, | |
| "Dfa": 48, | |
| "Dfb": 65, | |
| "Dg": 67, | |
| "Dh": 32, | |
| "Dha": 94, | |
| "Di": 21, | |
| "Dj": 43, | |
| "Dk": 60, | |
| "Dl": 14, | |
| "ETCCATEGORY": 62, | |
| "EXCLAMATIONCATEGORY": 58, | |
| "EXCLANATIONCATEGORY": 28, | |
| "FW": 52, | |
| "I": 64, | |
| "N": 80, | |
| "NA": 81, | |
| "Na": 1, | |
| "Nb": 7, | |
| "Nc": 10, | |
| "Nd": 19, | |
| "Neqa": 40, | |
| "Nes": 41, | |
| "Neu": 12, | |
| "Nf": 15, | |
| "Ng": 17, | |
| "Nh": 4, | |
| "Nha": 87, | |
| "P": 16, | |
| "PARENTHESISCATEGOR": 74, | |
| "PARENTHESISCATEGORY": 8, | |
| "PAUSECATEGORY": 42, | |
| "PERIODCATEGORY": 2, | |
| "Q": 70, | |
| "QUESTIONCATEGORY": 26, | |
| "R": 66, | |
| "SEMICOLONCATEGORY": 44, | |
| "SHI": 25, | |
| "T": 23, | |
| "T3": 45, | |
| "T4": 49, | |
| "T5": 55, | |
| "T6": 50, | |
| "T7": 57, | |
| "T8": 51, | |
| "U": 53, | |
| "V": 77, | |
| "V-2": 76, | |
| "VA": 20, | |
| "VAC": 47, | |
| "VAL": 89, | |
| "VB": 61, | |
| "VC": 3, | |
| "VCL": 9, | |
| "VCl": 79, | |
| "VD": 37, | |
| "VE": 5, | |
| "VF": 30, | |
| "VG": 36, | |
| "VH": 6, | |
| "VHC": 29, | |
| "VHL": 71, | |
| "VI": 68, | |
| "VJ": 27, | |
| "VK": 13, | |
| "VL": 31, | |
| "VU": 97, | |
| "V_": 90, | |
| "V_2": 34, | |
| "Va": 91, | |
| "Vf": 78, | |
| "Vh": 83, | |
| "Vk": 93, | |
| "X": 75, | |
| "b": 59, | |
| "cr": 92, | |
| "q": 73, | |
| "u": 84, | |
| "x": 69, | |
| "\u5750": 85, | |
| "\u7c59": 86 | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "id2label": { | |
| "0": "COMMACATEGORY", | |
| "1": "Na", | |
| "2": "PERIODCATEGORY", | |
| "3": "VC", | |
| "4": "Nh", | |
| "5": "VE", | |
| "6": "VH", | |
| "7": "Nb", | |
| "8": "PARENTHESISCATEGORY", | |
| "9": "VCL", | |
| "10": "Nc", | |
| "11": "COLONCATEGORY", | |
| "12": "Neu", | |
| "13": "VK", | |
| "14": "Dl", | |
| "15": "Nf", | |
| "16": "P", | |
| "17": "Ng", | |
| "18": "Dc", | |
| "19": "Nd", | |
| "20": "VA", | |
| "21": "Di", | |
| "22": "Dd", | |
| "23": "T", | |
| "24": "DE", | |
| "25": "SHI", | |
| "26": "QUESTIONCATEGORY", | |
| "27": "VJ", | |
| "28": "EXCLANATIONCATEGORY", | |
| "29": "VHC", | |
| "30": "VF", | |
| "31": "VL", | |
| "32": "Dh", | |
| "33": "Cbb", | |
| "34": "V_2", | |
| "35": "Dbb", | |
| "36": "VG", | |
| "37": "VD", | |
| "38": "Daa", | |
| "39": "Dab", | |
| "40": "Neqa", | |
| "41": "Nes", | |
| "42": "PAUSECATEGORY", | |
| "43": "Dj", | |
| "44": "SEMICOLONCATEGORY", | |
| "45": "T3", | |
| "46": "A", | |
| "47": "VAC", | |
| "48": "Dfa", | |
| "49": "T4", | |
| "50": "T6", | |
| "51": "T8", | |
| "52": "FW", | |
| "53": "U", | |
| "54": "Dba", | |
| "55": "T5", | |
| "56": "Caa", | |
| "57": "T7", | |
| "58": "EXCLAMATIONCATEGORY", | |
| "59": "b", | |
| "60": "Dk", | |
| "61": "VB", | |
| "62": "ETCCATEGORY", | |
| "63": "DASHCATEGORY", | |
| "64": "I", | |
| "65": "Dfb", | |
| "66": "R", | |
| "67": "Dg", | |
| "68": "VI", | |
| "69": "x", | |
| "70": "Q", | |
| "71": "VHL", | |
| "72": "3", | |
| "73": "q", | |
| "74": "PARENTHESISCATEGOR", | |
| "75": "X", | |
| "76": "V-2", | |
| "77": "V", | |
| "78": "Vf", | |
| "79": "VCl", | |
| "80": "N", | |
| "81": "NA", | |
| "82": "CE", | |
| "83": "Vh", | |
| "84": "u", | |
| "85": "\u5750", | |
| "86": "\u7c59", | |
| "87": "Nha", | |
| "88": "/Na", | |
| "89": "VAL", | |
| "90": "V_", | |
| "91": "Va", | |
| "92": "cr", | |
| "93": "Vk", | |
| "94": "Dha", | |
| "95": "Df", | |
| "96": "D", | |
| "97": "VU" | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "pooler_fc_size": 768, | |
| "pooler_num_attention_heads": 12, | |
| "pooler_num_fc_layers": 3, | |
| "pooler_size_per_head": 128, | |
| "pooler_type": "first_token_transform", | |
| "position_embedding_type": "absolute", | |
| "tokenizer_class": "BertTokenizerFast", | |
| "transformers_version": "4.7.0", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 26140 | |
| } | |