Instructions to use gety-ai/gety-embed-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use gety-ai/gety-embed-v0 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("gety-ai/gety-embed-v0") 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
gety-embed-v0
Fine-tuned from intfloat/multilingual-e5-small using open-source and proprietary synthetic data, optimized for local search scenarios.
ONNX
| File | Quantization | Size |
|---|---|---|
onnx/model_uint8.onnx |
UINT8 Dynamic | 112 MB |
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Model tree for gety-ai/gety-embed-v0
Base model
intfloat/multilingual-e5-small