Instructions to use hellonlp/promcse-bert-base-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hellonlp/promcse-bert-base-zh with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, BertForCL tokenizer = AutoTokenizer.from_pretrained("hellonlp/promcse-bert-base-zh") model = BertForCL.from_pretrained("hellonlp/promcse-bert-base-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from hellonlp/promcse-bert-base-zh: direct link, hf CLI and curl.
- Browser
- Download file 820 MB
-
https://huggingface.co/hellonlp/promcse-bert-base-zh/resolve/main/optimizer.pt
- Command line
-
hf download hf://hellonlp/promcse-bert-base-zh/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/hellonlp/promcse-bert-base-zh/resolve/main/optimizer.pt
820 MB
- Xet hash:
- be85a355a3d3d4dcf7a43c1cb761a0bdcb1cf09fe6ea15ef6442f98c9c20240a
- Size of remote file:
- 820 MB
- SHA256:
- 7dd24a550d37e297d838665f9e99bb54014073de739b0dcf9148035352611a2f
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