KoichiYasuoka commited on
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initial release

Browse files
README.md ADDED
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+ ---
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+ language:
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+ - "th"
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+ tags:
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+ - "thai"
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+ - "masked-lm"
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+ base_model: clicknext/phayathaibert
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+ license: "apache-2.0"
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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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+ # camembert-thai-base
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+
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+ ## Model Description
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+
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+ This is a CamemBERT model pre-trained on Thai texts, derived from [PhayaThaiBERT](https://huggingface.co/clicknext/phayathaibert) with the tokenizer improved. You can fine-tune `camembert-thai-base` for downstream tasks, such as [POS-tagging](https://huggingface.co/KoichiYasuoka/camembert-thai-base-upos), [dependency-parsing](https://huggingface.co/KoichiYasuoka/camembert-thai-base-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/camembert-thai-base")
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+ model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/camembert-thai-base")
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+ ```
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+
config.json ADDED
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+ {
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+ "architectures": [
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+ "CamembertForMaskedLM"
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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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+ "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": "camembert",
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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": "PreTrainedTokenizerFast",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.30.2",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 249262
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+ }
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+ {
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+ "additional_special_tokens": [
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+ "<s>NOTUSED",
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+ "</s>NOTUSED",
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+ "<_>"
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+ ],
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+ "bos_token": {
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false
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+ }
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+ }
tokenizer.json ADDED
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tokenizer_config.json ADDED
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