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Hi,
I have a problem statement which need similar sentences to be grouped together. Can I use clustering algorithms like DBSCAN, HDBSAN to cluster the embeddings together?
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8.1 ~ 8.2 @mori8
8.3 ~ 8.4 @0hee0
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Revisit minimum system requirements as the multilingual embeddings may be too big.
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Hi,
Thanks so much for the great project - SBERT! I am fine-tuning a classification task using the pre-trained `bert-base-uncased` in SBERT. I am trying to understand how the accuracy of binary class…
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In the [SBERT repository](https://www.sbert.net/examples/training/adaptive_layer/README.html), I found the adaptive layers method referenced in this paper: [_**ESE**: Espresso Sentence Embeddings_](ht…
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Accidentally stopped model download during call model = SentenceTransformer('distilbert-base-nli-mean-tokens')
When calling the same script again, it throws an error:
File "test_dataset_encode.py"…
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First of all, thank you for your wonderful work "SBERT". Is there a way to create the embeddings for semantic role labelling (SRL) task? For example, I want to create the embeddings in the following m…
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Hi there!
Now that using adapters works, does it make sense to include it that you can use an adapter for the query / and the sentence2 natively with model.train?
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Relation Model_includes_Model is the most problematic relation. It's clear that we need to improve prompt for better relation extraction
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