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Muhtasham Oblokulov PRO

muhtasham
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upvoted a collection 28 minutes ago
SFR-Embedding Models
liked a model 28 minutes ago
Salesforce/SFR-Embedding-Code-2B_R
reacted to tomaarsen's post with šŸ”„ 34 minutes ago
I've just shipped the Sentence Transformers v3.1.1 patch release, fixing the hard negatives mining utility for some models. This utility is extremely useful to get more performance out of your embedding training data. ā› Hard negatives are texts that are rather similar to some anchor text (e.g. a query), but are not the correct match. They're difficult for a model to distinguish from the correct answer, often resulting in a stronger model after training. `mine_hard_negatives` docs: https://sbert.net/docs/package_reference/util.html#sentence_transformers.util.mine_hard_negatives šŸ”“ Beyond that, this release removes the numpy<2 restriction from v3.1.0. This was previously required for Windows as not all third-party libraries were updated to support numpy v2. With Sentence Transformers, you can now choose v1 or v2 of numpy. Check out the full release notes here: https://github.com/UKPLab/sentence-transformers/releases/tag/v3.1.1 I'm looking forward to releasing v3.2, I have some exciting things planned šŸš€
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