SJ-Ray/Manual_Fine_Tune_Vectors

Manual Fine Tune Sentence Transformer Embeddings

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Experimental

This tool helps data practitioners and researchers customize existing text embedding models without the need for extensive retraining. You input a pre-trained sentence transformer model and then modify its word embeddings to better understand specific terms relevant to your domain. The output is a refined embedding model that produces more accurate semantic representations for your unique use cases.

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Use this if you need to adapt a general-purpose text embedding model to recognize specific jargon or new vocabulary relevant to your specialized text data without undergoing full model retraining.

Not ideal if you need to train a completely new text embedding model from scratch or if your primary goal is to significantly change the model's architecture rather than just its vocabulary's understanding.

semantic-search natural-language-processing text-analysis information-retrieval vocabulary-customization
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 8 / 25

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Last pushed

Oct 12, 2022

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