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There's a streamlit UI in here (borrowed from the one for [language model embeddings search](https://github.com/NERC-CEH/embeddings_app/)
* Uses a collection of image embeddings from this [fork of …
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how to build a system that uses the Upstage API to compare job candidates' skills and rank them.
### 1. Data Preparation
First, define the skill lists for each candidate and assign importance w…
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### Bug Description:
if create index without float vector then add in later with ALTER daemon failed to save disk chunk or create invalid index
```bash
create table test ( title text );
insert int…
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Dear Sam, Jianan and Juan Carlos,
First of all, congratulations on the publication & thank you very much for making the code and data publicly available!
With regard to my question:
I am running in…
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So I am simply calculating the cosine similarity between two fastText word embeddings (i.e. a*b/||a||*||b||), and I expect to see values between -1 and 1. But in practice, I only see similarities betw…
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We need a data-structure to store the results of a comprehensive signature analysis, that we can use to power sigstory reports. The object only needs to describe one sigclass - we will supply a list o…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
I’d like to add a feature that helps find similar sentences in a list using sentence embed…
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Hi,
I am using `MultipleNegativesRankingLoss` to train a German Bert model (deepset/gbert-base) on German sentence pairs.
During the training I am evaluating on German stsb data. My observation is…
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Hi guys, thanks for your continuous support and work
I am trying to find semantic similarity using Roberta large model but I am getting very high score unnecessarily.
**For example :**
**ideal …
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model = SentenceTransformer('distiluse-base-multilingual-cased')
sentence_embeddings = model.encode(['This framework generates embeddings for each input sentence']])
a1 = 1
for sentence, embeddin…