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In _Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks_ Section 4:Evaluation - Semantic Textual Similarity, you include the Spearman rank correlation between the cosine similarity of the e…
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Hi,
Trying to load model `all-mpnet-base-v2` with `map_device="auto"`.
Following [this closed issue](https://github.com/UKPLab/sentence-transformers/issues/2435) I understand that it is possibl…
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When I calculate the sentence similarity score using sbert and then train my own language model. I use different sentence combination methods.
Given two list of sentence, list_1 = [s1, s2, s3], lis…
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### Is your feature request related to a problem? Please describe.
Following #708 I developed some scraping code from github that downloads .py/.ipnyb for the ragproxy agent. I would like to find a…
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When calculating the cosine similarity between the embeddings (mean pooling as implemented using sentence-transformers) of random english words is giving scores well above 0.9 for some reason I can't …
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The model's output is a torch.cuda.FloatTensor. How can I get real score between 2 sentences?
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Hi,
I am trying to understand if there is any need for calibration for the sentence-embeddings models. The use case I have is I fine-tune one of the sentence-embeddings models and use the embeddings…
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I've been looking for up-to-date information about how various pre-trained models compare for clustering and topic modeling with BERTopic – rather than semantic search which is all the rage these days…
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EMBEDDING_FILE = '/media/jlan/E/Projects/nlp/sentence_similarity/dataset/w2v_model.bin'
TRAIN_DATA_FILE = '/media/jlan/E/Projects/nlp/sentence_similarity/dataset/dataset.csv'
test_file = '/med…
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
I use the class "FaissVectorStore" build to get "vector_store", then use vector_store.ad…