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I have a training which pushes to `MyRepo/model-train` during training phase at each logging interval i.e
```python
training_args = SentenceTransformerTrainingArguments(
.
…
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### Feature Description
Purpose: support asymmetric embeddings e.g.
[sbert.net/examples/applications/semantic-search/README.html](https://www.sbert.net/examples/applications/semantic-search/README.h…
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Hello!
Sentence Transformers doesn't care much about the names of your columns (except "score" and "label"), and just takes the other columns **in order** as the inputs to your losses. If your data…
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How can I use SBERT to find and print semantic similarity score between a pair of sentences?
I have a list of pair of sentences where I want to find semantic similarity between sentences and choose t…
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Hello,
had a look at the results of comparing gpt-3, google and sentence transformer embedding models against each other on a few benchmarks from BEIR (https://docs.google.com/spreadsheets/d/1cbkJAin…
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Can I train a sentence-transformer in the form [sentence1, label]?
Would it be correct? Can't find neither in the documentation or hugging face nothing related to this specific way of fine-tuning S…
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- [x] Get config’s files working, include config in file name
- [ ] Do you see the weird distribution with glove or just with w2v, waiting on #7
- [ ] How correlated are Sbert and arora predictions…
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Problem:
When I run the sample code provided for evaluation, I run for the following error in the file supert.py:
![image](https://user-images.githubusercontent.com/54659709/166067508-32e399d2-3…
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hello, is there a script to run the evaluation as mentioned on the website:
[https://www.sbert.net/docs/pretrained_models.html#sentence-embedding-models](https://www.sbert.net/docs/pretrained_models.…
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https://simonwillison.net/2023/Sep/4/llm-embeddings/
Note currently we let chromadb handle all things embeddings but the above may provide a better way to decouple the choice of object store (e.g. …