Instructions to use hellonlp/promcse-bert-large-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hellonlp/promcse-bert-large-zh with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, BertForCL tokenizer = AutoTokenizer.from_pretrained("hellonlp/promcse-bert-large-zh") model = BertForCL.from_pretrained("hellonlp/promcse-bert-large-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from hellonlp/promcse-bert-large-zh: direct link, hf CLI and curl.
- Browser
- Download file 2.61 GB
-
https://huggingface.co/hellonlp/promcse-bert-large-zh/resolve/main/optimizer.pt
- Command line
-
hf download hf://hellonlp/promcse-bert-large-zh/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/hellonlp/promcse-bert-large-zh/resolve/main/optimizer.pt
2.61 GB
- Xet hash:
- 5082f6ca5857825bfe0f7cfdb4ba20deda45822821e4be9d305c8e66d2603759
- Size of remote file:
- 2.61 GB
- SHA256:
- 7aab893e494abd309b699ffd85b43e85864daf5502ce70812114b94e4051ddd4
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