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This is a RoBERTa model pre-trained on Thai Wikipedia texts, derived from
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.
How to Use
from transformers import AutoTokenizer,AutoModelForMaskedLM
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-base-thai-syllable")
model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-base-thai-syllable")
Runs of KoichiYasuoka roberta-base-thai-syllable on huggingface.co
92
Total runs
-1
24-hour runs
-2
3-day runs
2
7-day runs
25
30-day runs
More Information About roberta-base-thai-syllable huggingface.co Model
More roberta-base-thai-syllable license Visit here:
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KoichiYasuoka roberta-base-thai-syllable online free url in huggingface.co:
roberta-base-thai-syllable is an open source model from GitHub that offers a free installation service, and any user can find roberta-base-thai-syllable on GitHub to install. At the same time, huggingface.co provides the effect of roberta-base-thai-syllable install, users can directly use roberta-base-thai-syllable installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
roberta-base-thai-syllable install url in huggingface.co: