Sentence Similarity
sentence-transformers
Safetensors
English
clip
multimodal-retrieval
embedding-model
custom_code
Instructions to use BAAI/BGE-VL-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use BAAI/BGE-VL-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("BAAI/BGE-VL-base", trust_remote_code=True) 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
Commit History
-
Integrate with Sentence Transformers v5.4 (#7)
- Integrate with Sentence Transformers v5.4 (d1dfc4615a3d039998791f183f45f0dc2a20ac5d)cc4c733
-
Upload 4 files
Verified signature1aba80d -
Update README.md
Verified signaturea407e8b
-
Update README.md
Verified signature628d46c -
Upload folder using huggingface_hub
Verified signature0dd0ddf -
initial commit
Verified signature6feb350