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
shouldn't it be 2025-3-4?
#2
by ganymedC - opened
A little bug in "NEWS":
"2024-3-4 ππ We have released the BGE-VL-MLLM models on Huggingface: BGE-VL-MLLM-S1 and BGE-VL-MLLM-S2. "
supposed to be
"2025-3-4 ππ We have released the BGE-VL-MLLM models on Huggingface: BGE-VL-MLLM-S1 and BGE-VL-MLLM-S2. "
yes