Sentence Similarity
sentence-transformers
Safetensors
Chinese
English
text-embeddings-inference
feature-extraction
semantic-search
retrieval
traditional-chinese
lora
Instructions to use BluePlanetAI/BPVELA-E560M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use BluePlanetAI/BPVELA-E560M with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("BluePlanetAI/BPVELA-E560M") sentences = [ "那是 個快樂的人", "那是 條快樂的狗", "那是 個非常幸福的人", "今天是晴天" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "SentenceTransformer", | |
| "__version__": { | |
| "sentence_transformers": "5.3.0", | |
| "transformers": "5.4.0", | |
| "pytorch": "2.11.0+cu128" | |
| }, | |
| "prompts": { | |
| "query": "", | |
| "document": "" | |
| }, | |
| "default_prompt_name": null, | |
| "similarity_fn_name": "cosine" | |
| } |