Sentence Similarity
sentence-transformers
Safetensors
English
bert
bible
cross-translation
semantic-similarity
embeddings
Eval Results (legacy)
text-embeddings-inference
Instructions to use LoveJesus/biblical-cross-translation-chirho with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use LoveJesus/biblical-cross-translation-chirho with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LoveJesus/biblical-cross-translation-chirho") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c87a83527f16db978cf2b7acd989c57444fe138426ba29d9a87b2d455a6faf5
- Size of remote file:
- 471 MB
- SHA256:
- 87048e9af5978805a6f02ad3cca0a24a19dd7af96c6c65eacf251e25c02f4e89
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