Token Classification
Transformers
Safetensors
Vietnamese
roberta
ner
vietnamese
address-parsing
phobert
Eval Results (legacy)
Instructions to use open-thienhang-com/bert_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use open-thienhang-com/bert_all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="open-thienhang-com/bert_all")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("open-thienhang-com/bert_all") model = AutoModelForTokenClassification.from_pretrained("open-thienhang-com/bert_all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,381 Bytes
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"add_cross_attention": false,
"architectures": [
"RobertaForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": 0.1,
"dtype": "float32",
"eos_token_id": 2,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "<PAD>",
"1": "B-CITY",
"2": "B-DISTRICT",
"3": "B-HOUSE_NUMBER",
"4": "B-PLACE_NAME",
"5": "B-STREET",
"6": "B-WARD",
"7": "I-CITY",
"8": "I-DISTRICT",
"9": "I-HOUSE_NUMBER",
"10": "I-PLACE_NAME",
"11": "I-STREET",
"12": "I-WARD",
"13": "O"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"is_decoder": false,
"label2id": {
"<PAD>": 0,
"B-CITY": 1,
"B-DISTRICT": 2,
"B-HOUSE_NUMBER": 3,
"B-PLACE_NAME": 4,
"B-STREET": 5,
"B-WARD": 6,
"I-CITY": 7,
"I-DISTRICT": 8,
"I-HOUSE_NUMBER": 9,
"I-PLACE_NAME": 10,
"I-STREET": 11,
"I-WARD": 12,
"O": 13
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 258,
"model_type": "roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"tie_word_embeddings": true,
"tokenizer_class": "PhobertTokenizer",
"transformers_version": "5.9.0",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 64001
}
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