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I've been using sentence-transformers for a little while and I love it - thanks for your great work! Out of the box I've been getting the best results for sentence similarity tasks with the pre-traine…
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Hi everyone. I was wondering if is it possible to do the same "span contextual embeddings" with a HuggingFace model. I`ve been able to generate token contextual embeddings (https://discuss.huggingface…
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Pose a question about one of the following articles:
[“The Geometry of Culture: Analyzing the Meanings of Class through Word Embeddings.”](https://journals.sagepub.com/doi/full/10.1177/00031224198…
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### Description
Learned Sparse Vectors claim to combine the benefits of sparse (i.e. lexical) and dense (i.e. vector) representations
From https://en.wikipedia.org/wiki/Learned_sparse_retrieval:…
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## 0. Paper
@inproceedings{martinc-etal-2020-leveraging,
title = "Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift",
author = "Martinc, Matej and
Kralj Novak…
a1da4 updated
3 years ago
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Jira Link: [DB-5722](https://yugabyte.atlassian.net/browse/DB-5722)
### Description
I'm enjoying working with AI, and I also enjoyed working with Yugabyte... but, I'd love to use them together! So…
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You will see the problem in the text below, this is with using gpt-4o and version 0.5 of agent zero, but have similar issues with other models
User message ('e' to leave):
> Write a college level …
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BERT-based, or any transformer-based models output contextualized embeddings, which is correctly used for document embeddings generation. But to get word_embeddings, the same model is used, moreover, …
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Currently the `dense_vector` field is a single-valued field. This is a limitation that forces a document to be repeated or split up into multiple documents when it's necessary to have multiple embeddi…
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when i run the scrip_eval.py with the the fine-tune model generated by the script_training.sh, it has this error:
```
Traceback (most recent call last):
File "/Volumes/Files/Documents/PycharmProj…