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WikiMedical_sent_biobert

Sentence Similarity
sentence-transformers
PyTorch
Safetensors
Transformers
bert
feature-extraction
text-embeddings-inference
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  This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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- WikiMedical_sent_bert is based on the [https://huggingface.co/dmis-lab/biobert-base-cased-v1.2](dmis-lab/biobert-base-cased-v1.2) backbone and has been trained on the [WikiMedical_sentence_simialrity](https://huggingface.co/datasets/nuvocare/WikiMedical_sentence_similarity) dataset.
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  The model is able to predict whether two texts are related to the same wikipedia page, with only medical topic.
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  This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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+ WikiMedical_sent_bert is based on the [https://huggingface.co/dmis-lab/biobert-base-cased-v1.2](dmis-lab/biobert-base-cased-v1.2) backbone and has been trained on the [WikiMedical_sentence_similarity](https://huggingface.co/datasets/nuvocare/WikiMedical_sentence_similarity) dataset.
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  The model is able to predict whether two texts are related to the same wikipedia page, with only medical topic.
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