Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use JW451609703/bitext-llmft-bge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use JW451609703/bitext-llmft-bge with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("JW451609703/bitext-llmft-bge") 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
File size: 133 Bytes
50fbcd3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c0cb7277b7f6efc61e33bc5daf6f17142babb0bb68b2d5dd600c96471a90c62e
size 16766134
|