Sentence Similarity
sentence-transformers
Safetensors
Czech
bidirectional_pplx_qwen3
trimmed
custom_code
text-embeddings-inference
🇪🇺 Region: EU
Instructions to use alphaedge-ai/pplx-embed-v1-ces-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-ces-32768 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/pplx-embed-v1-ces-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:
- c57875474ad6c4530552bd336d4d4996fd2c07329407bb5ccfae9ad76a7a0a9a
- Size of remote file:
- 948 MB
- SHA256:
- ebe5d1874eaef598c3a8131596380f0040c3cc88bdf5ef2d1799241ce4ca2305
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