Instructions to use Decycle/simcse_longembed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Decycle/simcse_longembed with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Decycle/simcse_longembed") model = AutoModel.from_pretrained("Decycle/simcse_longembed") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse filesSimCSE model trained with longer context size for LongEmbed task
README.md
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- en
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base_model:
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- princeton-nlp/unsup-simcse-roberta-base
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---
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- en
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base_model:
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- princeton-nlp/unsup-simcse-roberta-base
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datasets:
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- dwzhu/LongEmbed
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pipeline_tag: sentence-similarity
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library_name: transformers
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