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_13-56-13_bharatsahaiyak-test /events.out.tfevents.1718718975.bharatsahaiyak-test.58706.0
- Xet hash:
- 7294d3bd1f3f4d506e8cdf46cf5237e5f77bc960a59697c7b72e9b13c3d0346c
- Size of remote file:
- 109 kB
- SHA256:
- 0874c3a25e24f6348d24d06d3a38b2a76135b40f3282fb5782db69daed62eef9
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