Python utility for text embeddings in ONNX.
Project description
onnx_embedding_models
utilities for loading and running text embeddings with onnx
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for onnx_embedding_models-0.0.9.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8675e6c88a9a86bdc855dbfee352f22f6b47ff12bb0b9b7df08dd75784716fba |
|
MD5 | 89d8afd72c10932c2cd7a362619e83e6 |
|
BLAKE2b-256 | f8984f04e0b895db9730c16746674080163dfd77931ee2ca06b34aae601790fa |
Close
Hashes for onnx_embedding_models-0.0.9-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 852068f5b21590bb10244bc1f483f29b4181ca93514bbac8e0912188ebb0719a |
|
MD5 | d012e6523f6b4ab297b87e7d063083db |
|
BLAKE2b-256 | 6f0d52718cc7c89fbbca3eb3fecac1908df95e9c1e3b249d84ebcba23c48eab5 |