Transformers
PyTorch
Chinese
bert
next-sentence-prediction
SequenceClassification
MetaDis
古文
文言文
ancient
classical
Biography
古代人物传记
Instructions to use cbdb/MetaDis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cbdb/MetaDis with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("cbdb/MetaDis") model = AutoModelForNextSentencePrediction.from_pretrained("cbdb/MetaDis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from cbdb/MetaDis: direct link, hf CLI and curl.
- Browser
- Download file 409 MB
-
https://huggingface.co/cbdb/MetaDis/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://cbdb/MetaDis/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cbdb/MetaDis/resolve/main/pytorch_model.bin
409 MB
- Xet hash:
- 1e72ac19911543716be43ef2b9e7d20f2b17adff3b1bc1046fdaafc4e0aedddd
- Size of remote file:
- 409 MB
- SHA256:
- d174720aef308fcf533b43fb68af91eea374da6a53298afceddba5e5b2ce6888
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