Instructions to use WENGSYX/Multilingual_SimCSE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WENGSYX/Multilingual_SimCSE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="WENGSYX/Multilingual_SimCSE")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("WENGSYX/Multilingual_SimCSE") model = AutoModel.from_pretrained("WENGSYX/Multilingual_SimCSE") - Notebooks
- Google Colab
- Kaggle
YixuanWeng commited on
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df6bb0e
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Parent(s): 2a443ac
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{"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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