Instructions to use T-Systems-onsite/cross-en-pl-it-roberta-sentence-transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use T-Systems-onsite/cross-en-pl-it-roberta-sentence-transformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="T-Systems-onsite/cross-en-pl-it-roberta-sentence-transformer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("T-Systems-onsite/cross-en-pl-it-roberta-sentence-transformer") model = AutoModel.from_pretrained("T-Systems-onsite/cross-en-pl-it-roberta-sentence-transformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from T-Systems-onsite/cross-en-pl-it-roberta-sentence-transformer: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/T-Systems-onsite/cross-en-pl-it-roberta-sentence-transformer/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://T-Systems-onsite/cross-en-pl-it-roberta-sentence-transformer/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/T-Systems-onsite/cross-en-pl-it-roberta-sentence-transformer/resolve/main/pytorch_model.bin
1.11 GB
- Xet hash:
- 935f1d3aabc31ff15affcc6cd23ec8ff6c62ba2ad71d76b12f215f4ceec9ce98
- Size of remote file:
- 1.11 GB
- SHA256:
- 6847dc16c54826dd5cd19041c0ce302a38c851e3e9a4964050d3a0d0ea69786c
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