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
- Xet hash:
- ccde29c26429779104ac1590f86307d6aa5997b03a6e0b56defe4255808c55c4
- Size of remote file:
- 948 MB
- SHA256:
- c6b1eb30be339e17ada6302ad673d4f581f2227eb24265cb946454268ea8ad07
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