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bert-base-tibetan
KoichiYasuoka/bert-base-tibetan
bert-base-tibetan is a fill-mask model from KoichiYasuoka. Use it when you need the model to fill a missing word. The card lists the license as apache-2.0.
This is a BERT model pre-trained on Tibetan texts, derived from Tibetan-BERT-wwm with the tokenizer refined for PyTorch. You can fine-tune bert-base-tibetan for downstream tasks, such as POS-tagging, dependency-parsin…
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At a glance
- Task
- Fill-Mask
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Sep 27, 2024
- Updated
- Sep 28, 2024
- SHA
- 364c7add
Base models
Model card
From the Hugging Face model README
bert-base-tibetan
Model Description
This is a BERT model pre-trained on Tibetan texts, derived from Tibetan-BERT-wwm with the tokenizer refined for PyTorch. You can fine-tune bert-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/bert-base-tibetan")
model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/bert-base-tibetan")
- Task
- Fill-Mask
- Type
- bert
- License
- apache-2.0
- Languages
- bo
- Created
- Sep 27, 2024
- Updated
- Sep 28, 2024