Sentence Similarity
sentence-transformers
Safetensors
English
clip
multimodal-retrieval
embedding-model
custom_code
Instructions to use BAAI/BGE-VL-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use BAAI/BGE-VL-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("BAAI/BGE-VL-large", 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
| { | |
| "unk_token": { | |
| "content": "<|endoftext|>", | |
| "single_word": false, | |
| "lstrip": false, | |
| "rstrip": false, | |
| "normalized": true, | |
| "__type": "AddedToken" | |
| }, | |
| "bos_token": { | |
| "content": "<|startoftext|>", | |
| "single_word": false, | |
| "lstrip": false, | |
| "rstrip": false, | |
| "normalized": true, | |
| "__type": "AddedToken" | |
| }, | |
| "eos_token": { | |
| "content": "<|endoftext|>", | |
| "single_word": false, | |
| "lstrip": false, | |
| "rstrip": false, | |
| "normalized": true, | |
| "__type": "AddedToken" | |
| }, | |
| "pad_token": "<|endoftext|>", | |
| "add_prefix_space": false, | |
| "errors": "replace", | |
| "do_lower_case": true, | |
| "name_or_path": "openai/clip-vit-base-patch32", | |
| "model_max_length": 77, | |
| "special_tokens_map_file": "./special_tokens_map.json", | |
| "tokenizer_class": "CLIPTokenizer" | |
| } | |