| language: | |
| - "th" | |
| tags: | |
| - "thai" | |
| - "masked-lm" | |
| - "wikipedia" | |
| license: "apache-2.0" | |
| pipeline_tag: "fill-mask" | |
| mask_token: "[MASK]" | |
| # roberta-base-thai-char | |
| ## Model Description | |
| This is a RoBERTa model pre-trained on Thai Wikipedia texts with character-wise embeddings to use BertTokenizerFast. You can fine-tune `roberta-base-thai-char` for downstream tasks, such as [POS-tagging](https://huggingface.co/KoichiYasuoka/roberta-base-thai-char-upos), [dependency-parsing](https://huggingface.co/KoichiYasuoka/roberta-base-thai-char-ud-goeswith), and so on. | |
| ## How to Use | |
| ```py | |
| from transformers import AutoTokenizer,AutoModelForMaskedLM | |
| tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-base-thai-char") | |
| model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-base-thai-char") | |
| ``` | |