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
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# Erlangshen-SimCSE-110M-Chinese
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- Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM)
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- Docs: [Fengshenbang-Docs](https://fengshenbang-doc.readthedocs.io/)
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## 简介 Brief Introduction
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# Erlangshen-SimCSE-110M-Chinese
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- Main Page:[Fengshenbang](https://fengshenbang-lm.com/)
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- Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM)
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## 简介 Brief Introduction
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