Instructions to use IDEA-CCNL/Erlangshen-SimCSE-110M-Chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-CCNL/Erlangshen-SimCSE-110M-Chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="IDEA-CCNL/Erlangshen-SimCSE-110M-Chinese")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Erlangshen-SimCSE-110M-Chinese") model = AutoModel.from_pretrained("IDEA-CCNL/Erlangshen-SimCSE-110M-Chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1575ee4bf0094fdbd4337a0b88d711e08df5f7be132be0f450bdd849fa7a6fa
- Size of remote file:
- 409 MB
- SHA256:
- 98de2dc26dbafe0aff0b7f8753aad6de22041dc210b88231e592100d3090fa0d
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