KoichiYasuoka commited on
Commit
da5dbd4
1 Parent(s): 5c41c58

initial release

Browse files
README.md ADDED
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+ ---
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+ language:
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+ - "vi"
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+ tags:
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+ - "vietnamese"
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+ - "masked-lm"
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+ - "wikipedia"
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+ license: "cc-by-sa-4.0"
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+ pipeline_tag: "fill-mask"
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+ mask_token: "[MASK]"
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+ ---
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+
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+ # roberta-base-vietnamese
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+
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+ ## Model Description
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+
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+ This is a RoBERTa model pre-trained on Vietnamese Wikipedia texts. You can fine-tune `roberta-base-vietnamese` for downstream tasks, such as [POS-tagging](https://huggingface.co/KoichiYasuoka/roberta-base-vietnamese-upos), [dependency-parsing](https://huggingface.co/KoichiYasuoka/roberta-base-vietnamese-ud-goeswith), and so on.
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+
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+ ## How to Use
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+
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+ ```py
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+ from transformers import AutoTokenizer,AutoModelForMaskedLM
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+ tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-base-vietnamese")
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+ model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-base-vietnamese")
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+ ```
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+
config.json ADDED
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+ {
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+ "architectures": [
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+ "RobertaForMaskedLM"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 0,
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+ "classifier_dropout": null,
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+ "eos_token_id": 2,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "roberta",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "tokenizer_class": "BertTokenizerFast",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.22.1",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
pytorch_model.bin ADDED
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+ size 442675435
special_tokens_map.json ADDED
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+ {
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+ "cls_token": "[CLS]",
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+ "mask_token": "[MASK]",
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+ "pad_token": "[PAD]",
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+ "sep_token": "[SEP]",
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+ "unk_token": "[UNK]"
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+ }
tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {
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+ "cls_token": "[CLS]",
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+ "do_basic_tokenize": true,
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+ "do_lower_case": true,
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+ "do_lowercase": true,
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+ "mask_token": "[MASK]",
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+ "model_max_length": 512,
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+ "never_split": [
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+ "[CLS]",
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+ "[PAD]",
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+ "[SEP]",
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+ "[UNK]",
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+ "[MASK]"
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+ ],
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+ "pad_token": "[PAD]",
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+ "sep_token": "[SEP]",
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+ "strip_accents": false,
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+ "tokenize_chinese_chars": true,
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+ "tokenizer_class": "BertTokenizerFast",
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+ "unk_token": "[UNK]"
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+ }
vocab.txt ADDED
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