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: 1,204 Bytes
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"added_tokens_decoder": {
"0": {
"content": "<s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"1": {
"content": "<pad>",
"lstrip": false,
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"rstrip": false,
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"special": true
},
"2": {
"content": "</s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"3": {
"content": "<unk>",
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},
"64000": {
"content": "<mask>",
"lstrip": false,
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"rstrip": false,
"single_word": false,
"special": true
}
},
"backend": "custom",
"bos_token": "<s>",
"cls_token": "<s>",
"eos_token": "</s>",
"is_local": true,
"local_files_only": false,
"mask_token": "<mask>",
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<pad>",
"sep_token": "</s>",
"tokenizer_class": "PhobertTokenizer",
"unk_token": "<unk>"
}
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