Instructions to use deepset/sentence_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/sentence_bert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("deepset/sentence_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from deepset/sentence_bert: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/deepset/sentence_bert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://deepset/sentence_bert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/deepset/sentence_bert/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 51e24e9c1b7e57bdfedb055e906558251e16f74e04f725ff8151675c69289eb7
- Size of remote file:
- 438 MB
- SHA256:
- d3231004174568f6eeb56a85679fb40e308511b8366ef5eec3f5b013f57de1c5
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