Instructions to use hellonlp/simcse-roberta-large-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hellonlp/simcse-roberta-large-zh with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hellonlp/simcse-roberta-large-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hellonlp/simcse-roberta-large-zh: direct link, hf CLI and curl.
- Browser
- Download file 1.3 GB
-
https://huggingface.co/hellonlp/simcse-roberta-large-zh/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hellonlp/simcse-roberta-large-zh/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hellonlp/simcse-roberta-large-zh/resolve/main/pytorch_model.bin
1.3 GB
- Xet hash:
- 6ad89ab0a5d62ed449ad2514cae51329a723ead73937f2db3e9d1557c5fd5378
- Size of remote file:
- 1.3 GB
- SHA256:
- ca7165d5624531ff14952f655077669e5dfa8b6284478f5c08d33893cfa463cf
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