Feature Extraction
sentence-transformers
Safetensors
qwen3
sentence-similarity
dense-encoder
dense
telepix
text-embeddings-inference
Instructions to use telepix/PIXIE-Spell-Preview-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use telepix/PIXIE-Spell-Preview-0.6B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("telepix/PIXIE-Spell-Preview-0.6B") 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:
- 0833122268b720d1af00c33cdb221b725c81ec388c327d910f4077015d170a53
- Size of remote file:
- 2.38 GB
- SHA256:
- 747defaa73c73ea09120679856f38c32a6f3b8db9a7358930e012f6d7a5c3e58
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