Instructions to use jgrosjean-mathesis/sentence-swissbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jgrosjean-mathesis/sentence-swissbert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, XmodForCL tokenizer = AutoTokenizer.from_pretrained("jgrosjean-mathesis/sentence-swissbert") model = XmodForCL.from_pretrained("jgrosjean-mathesis/sentence-swissbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jgrosjean-mathesis/sentence-swissbert: direct link, hf CLI and curl.
- Browser
- Download file 638 MB
-
https://huggingface.co/jgrosjean-mathesis/sentence-swissbert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jgrosjean-mathesis/sentence-swissbert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jgrosjean-mathesis/sentence-swissbert/resolve/main/pytorch_model.bin
638 MB
- Xet hash:
- d15e4f030e3c9085447baba7ace0dc5f45ced9441756274bbd7f6ec6a39534b2
- Size of remote file:
- 638 MB
- SHA256:
- 2f0d047cbcf416741502e70ce694a2ba6dc816c814a0624bf8065cbd2867f7d7
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