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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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- "wikipedia" |
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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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widget: |
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- text: "แผนกนี้กำลังเผชิญกับความ<mask>ใหม่" |
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--- |
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# roberta-base-thai-syllable |
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## Model Description |
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This is a RoBERTa model pre-trained on Thai Wikipedia texts, derived from [wangchanberta-base-wiki-syllable](https://huggingface.co/airesearch/wangchanberta-base-wiki-syllable). Character-embeddings are modified to use BertTokenizerFast. You can fine-tune `roberta-base-thai-syllable` for downstream tasks, such as POS-tagging, dependency-parsing, and so on. |
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## How to Use |
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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-thai-syllable") |
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model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-base-thai-syllable") |
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``` |
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