Sentence Similarity
sentence-transformers
Safetensors
English
bidirectional_pplx_qwen3
trimmed
custom_code
text-embeddings-inference
🇪🇺 Region: EU
Instructions to use alphaedge-ai/pplx-embed-v1-eng-32768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use alphaedge-ai/pplx-embed-v1-eng-32768 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/pplx-embed-v1-eng-32768", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
| { | |
| "</think>": 32767, | |
| "<think>": 32766, | |
| "<|box_end|>": 32758, | |
| "<|box_start|>": 32757, | |
| "<|endoftext|>": 32752, | |
| "<|im_end|>": 32754, | |
| "<|im_start|>": 32753, | |
| "<|image_pad|>": 32764, | |
| "<|object_ref_end|>": 32756, | |
| "<|object_ref_start|>": 32755, | |
| "<|quad_end|>": 32760, | |
| "<|quad_start|>": 32759, | |
| "<|video_pad|>": 32765, | |
| "<|vision_end|>": 32762, | |
| "<|vision_pad|>": 32763, | |
| "<|vision_start|>": 32761 | |
| } |