# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-base-thai-spm")
model = AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-base-thai-spm")Quick Links
roberta-base-thai-spm
Model Description
This is a RoBERTa model pre-trained on Thai Wikipedia texts. You can fine-tune roberta-base-thai-spm 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-spm")
model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-base-thai-spm")
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KoichiYasuoka/roberta-base-thai-spm")