Sentence Similarity
sentence-transformers
Safetensors
Hebrew
bert
biblical-hebrew
digital-humanities
inner-biblical-parallels
Eval Results (legacy)
text-embeddings-inference
Instructions to use davidmsmiley/MiqraBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use davidmsmiley/MiqraBERT with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("davidmsmiley/MiqraBERT") sentences = [ "וַיַּעַשׂ הַיָּשָׁר בְּעֵינֵי יְהוָה כְּכֹל אֲשֶׁר־עָשָׂה עֻזִּיָּהוּ אָבִיו רַק לֹא־בָא אֶל־הֵיכַל יְהוָה וְעוֺד הָעָם מַשְׁחִיתִים", "וַיַּעַשׂ הַיָּשָׁר בְּעֵינֵי יְהוָה כְּכֹל אֲשֶׁר־עָשָׂה עֻזִיָּהוּ אָבִיו עָשָׂה", "וְהִנֵּה שֶׁבַע שִׁבֳּלִים צְנֻמוֺת דַּקּוֺת שְׁדֻפוֺת קָדִים צֹמְחוֺת אַחֲרֵיהֶם", "יִשָּׁעֵן עַל־בֵּיתוֺ וְלֹא יַעֲמֹד יַחֲזִיק בּוֺ וְלֹא יָקוּם" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K