Instructions to use T-Systems-onsite/cross-en-zh-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-zh-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-zh-roberta-sentence-transformer")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("T-Systems-onsite/cross-en-zh-roberta-sentence-transformer") model = AutoModel.from_pretrained("T-Systems-onsite/cross-en-zh-roberta-sentence-transformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aea12be04727b72399b82da13565cca77f29040e00b5a419a47085e7f7e0ef7d
- Size of remote file:
- 1.11 GB
- SHA256:
- 88eeafdd40389a4c8a0645e71cef2c289f94423f835b3ea795c278cbfb7abc3c
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