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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Parent(s): 1ce2d2c
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{"[MASK]": 250101, "[UN_LANG]": 250102, "[AR]": 250103, "[DE]": 250104, "[EN]": 250105, "[ES]": 250106, "[FR]": 250107, "[IT]": 250108, "[PL]": 250109, "[RU]": 250110, "[TR]": 250111, "[ZH]": 250112}
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