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
finetuned_bge-small-en-v1.5 / runs /Jun18_12-41-27_bharatsahaiyak-test /events.out.tfevents.1718714493.bharatsahaiyak-test.26096.0
- Xet hash:
- 9044e6c9629378ab37ed9c83d7c514939ca6365973695a555a3083b7cedce530
- Size of remote file:
- 109 kB
- SHA256:
- af19554e2b31b961202baf4f8462eebf8d6251de7625eb878b410f789993ad40
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