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My test show loss of embedding quality when tested on cosine similarities between raw and quantized embeddings. I'm a noob so may have done something wrong.
**Cosine Similarity of Levels 1-5 with L…
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### Checked other resources
- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a sim…
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I am currently working on semantic similarity for comparing business descriptions. To this end, I'm using sentence transformers to vectorize the texts and cosine similarity as a comparison metric. How…
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### System Info
```shell
optimum version: 1.20.0
system: OSX X64
dependencies: sentence_transformers==2.2.2
```
### Who can help?
@michaelbenayoun The location that throws this error is [tasks.…
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from bark import SAMPLE_RATE, generate_audio, preload_models
import sounddevice
from transformers import BarkModel, BarkProcessor
import torch
import numpy as np
from optimum.bettertransformer im…
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With the popularity of RAG, it would be great if TensorRT-LLM supported text-embedding and re-ranking models from sentence-transformers.
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Hello,
I found out that, since Tensorflow (v2.16+) recently changed the default version of Keras to the version 3, is there any initiative to update the code to make it work with Keras v3.
If such…
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Hello!
Did anyone try to implement approaches from https://arxiv.org/abs/2103.10385 or https://arxiv.org/abs/2110.07602? It would be great to see modifications that were made in order to implement …
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SentenceVAE/
│
├── encoder.py
│ ```python
│ import torch
│ from torch import nn
│
│ class SentenceEncoder(nn.Module):
│ '''Sentence Encoder with byte-level BPE tokenization, lear…
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I am wondering if sentence transformers can be used for data augmentation ? For example, you have a sentence and you would like to create 10 different sentences based on the input sentence which are s…