Feature Extraction
Transformers
Safetensors
mistral
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use jspringer/echo-mistral-7b-instruct-lasttoken with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jspringer/echo-mistral-7b-instruct-lasttoken with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jspringer/echo-mistral-7b-instruct-lasttoken")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jspringer/echo-mistral-7b-instruct-lasttoken") model = AutoModel.from_pretrained("jspringer/echo-mistral-7b-instruct-lasttoken") - Notebooks
- Google Colab
- Kaggle
add readme
Browse files
README.md
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# Repetition Improves Language Model Embeddings
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Please refer to our paper: [https://arxiv.org/abs/2402.15449](https://arxiv.org/abs/2402.15449)
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And our GitHub: [https://github.com/jakespringer/echo-embeddings](https://github.com/jakespringer/echo-embeddings)
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We provide a description of the model as well as example usage in the above links.
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