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:
- 31733f2da1c7c745e4917614078da955a7ecf3db1ae90dd58064429d75336ebf
- Size of remote file:
- 1.11 GB
- SHA256:
- 12f0487f9a96fe4d89092efd6f48fe4be3a0b884c9d8f33ec3386223d65634f1
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