roberta-base-tibetan
Model Description
This is a RoBERTa model pre-trained on Tibetan texts. NVIDIA A100-SXM4-40GB took 40 hours 44 minutes for training. You can fine-tune roberta-base-tibetan 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-tibetan")
model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-base-tibetan")
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