Sentence Similarity
sentence-transformers
TensorBoard
Safetensors
bert
feature-extraction
text-embeddings-inference
Instructions to use Jjzzzz/finetuned_bge-small-en-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Jjzzzz/finetuned_bge-small-en-v1.5 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Jjzzzz/finetuned_bge-small-en-v1.5") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 739836e30e77113ba0b9c267376f96629e91e38b72af01bcb1b83508087013ce
- Size of remote file:
- 266 MB
- SHA256:
- 67df796d5941ff935eb70fecca81a9bfc0cacc13e9067635dcc6c54e49d63d12
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