Transformers
PyTorch
Chinese
marian
text2text-generation
Seq2SeqLM
古文
文言文
中国古代官职翻译
ancient
classical
Instructions to use cbdb/ClassicalChineseOfficeTitleTranslation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cbdb/ClassicalChineseOfficeTitleTranslation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cbdb/ClassicalChineseOfficeTitleTranslation") model = AutoModelForSeq2SeqLM.from_pretrained("cbdb/ClassicalChineseOfficeTitleTranslation") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a76b971ec19798389518e3631e78c543a0e987f281c6e30c8609908ced30239a
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size 309965092
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