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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/clip-ViT-L-14](https://huggingface.co/sentence-transformers/clip-ViT-L-14) on the [yt-title-thumbnail-pairs](https://huggingface.co/datasets/shawhin/yt-title-thumbnail-pairs) dataset. It maps sentences & paragraphs to a None-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
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## Model Details
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### Model Description
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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/clip-ViT-L-14](https://huggingface.co/sentence-transformers/clip-ViT-L-14) on the [yt-title-thumbnail-pairs](https://huggingface.co/datasets/shawhin/yt-title-thumbnail-pairs) dataset. It maps sentences & paragraphs to a None-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
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A YouTube video and blog post walking through the model training are linked below.
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Links:
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- [Video link](https://youtu.be/W4s6b2ZM6kI)
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- [Blog link](https://medium.com/towards-data-science/fine-tuning-multimodal-embedding-models-bf007b1c5da5)
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- [Fine-tuned Model](https://huggingface.co/shawhin/clip-title-thumbnail-embeddings)
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## Model Details
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### Model Description
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