statembed-py
Fast, lightweight static text embeddings.
Python bindings for the
statembedRust crate, built with PyO3.
statembed-py loads a static embedding model (a model.safetensors file and its tokenizer.json) and produces mean-pooled, optionally L2-normalized embeddings from texts. If you already tokenize your texts, you can also pass token IDs.
Installation
# with uv
uv add statembed-py
# with pip
pip install statembed-py
Building from source
pip install maturin
maturin develop --release
Usage
from functools import lru_cache
from statembed_py import StaticEmbedding
@lru_cache(maxsize=1)
def get_embedding_model() -> StaticEmbedding:
# the directory must contain model.safetensors and tokenizer.json/tokenizer.v2.json
return StaticEmbedding(model_dir="./my-model")
embedding = get_embedding_model().embed_text("hello world")
embeddings = get_embedding_model().embed_texts(["hello world", "goodbye world"])
With token IDs from a tokenizer library of your choice, such as tokenizers:
from tokenizers import Tokenizer
tokenizer = Tokenizer.from_file("./my-model/tokenizer.json")
tokens = tokenizer.encode("hello world").ids
embedding = get_embedding_model().embed_tokens(tokens)
API
StaticEmbedding(model_dir, normalize=True, fallback_truncation_length=None, eager_loading_threshold=None)
Loads a model from a local directory containing model.safetensors and tokenizer.json. The model and the tokenizer are loaded lazily on the first embedding call.
model_dir: str— path to the model directory.normalize: bool— ifTrue(default), output embeddings are L2-normalized.fallback_truncation_length: int | None— truncation length used when the tokenizer sets none. Defaults to 512.eager_loading_threshold: int | None— size in bytes (vocabulary × dimensions × 4) of the decoded model below which it is fully decoded at load time. Larger models are decoded on demand. Defaults to 256 MB.
A tokenizer.json in the older v1 format is converted when it is loaded, and the result is saved next to it as tokenizer.v2.json so that later loads are faster. The original file is never changed. If the directory cannot be written, the model still loads.
embed_text(text: str) -> list[float]
Tokenizes the text and returns its embedding. The unknown token is removed before pooling.
embed_texts(texts: Sequence[str], batch_size: int | None = None) -> list[list[float]]
Embeds each text, in batches of batch_size (defaults to 16). The embeddings are returned in the same order as the texts.
embed_tokens(tokens: Sequence[int]) -> list[float]
Mean-pools the embedding rows for the given token IDs into a single fixed-length vector, applying normalization if enabled. The IDs are used as given, and an ID outside the vocabulary raises an error.
embed_tokens_batch(tokens: Sequence[Sequence[int]]) -> list[list[float]]
Same as embed_tokens, for several sequences.
Type stubs (statembed_py.pyi) are bundled for editor and type-checker support.
Development
maturin develop— build and install the extension into the active virtualenv.cargo run --bin stub_gen— regeneratestatembed_py.pyiafter changing the PyO3 bindings.
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for statembed-py 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| statembed_py-1.0.0.tar.gz | 52.0 kB | Without provenance | Details for statembed_py-1.0.0.tar.gz |
Built distributions (wheels)
Total release size: 84.2 MB
Release files / statembed_py-1.0.0.tar.gz
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| Tags | Source |
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Release files / statembed_py-1.0.0-cp314-cp314-win_arm64.whl
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Release files / statembed_py-1.0.0-cp312-cp312-musllinux_1_2_i686.whl
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Release files / statembed_py-1.0.0-cp312-cp312-musllinux_1_2_aarch64.whl
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Release files / statembed_py-1.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Release files / statembed_py-1.0.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
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Release files / statembed_py-1.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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Release files / statembed_py-1.0.0-cp312-cp312-macosx_11_0_arm64.whl
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Release files / statembed_py-1.0.0-cp312-cp312-macosx_10_12_x86_64.whl
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Release files / statembed_py-1.0.0-cp311-cp311-win_amd64.whl
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Release files / statembed_py-1.0.0-cp311-cp311-musllinux_1_2_x86_64.whl
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Release files / statembed_py-1.0.0-cp311-cp311-musllinux_1_2_i686.whl
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Release files / statembed_py-1.0.0-cp311-cp311-musllinux_1_2_aarch64.whl
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Release files / statembed_py-1.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Release files / statembed_py-1.0.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
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Release files / statembed_py-1.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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Release files / statembed_py-1.0.0-cp311-cp311-macosx_11_0_arm64.whl
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Release files / statembed_py-1.0.0-cp311-cp311-macosx_10_12_x86_64.whl
| Download URL | statembed_py-1.0.0-cp311-cp311-macosx_10_12_x86_64.whl |
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Release files / statembed_py-1.0.0-cp310-cp310-win_amd64.whl
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Release files / statembed_py-1.0.0-cp310-cp310-musllinux_1_2_x86_64.whl
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Release files / statembed_py-1.0.0-cp310-cp310-musllinux_1_2_i686.whl
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Release files / statembed_py-1.0.0-cp310-cp310-musllinux_1_2_aarch64.whl
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Release files / statembed_py-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.12.23 {"installer":{"name":"uv","version":"0.12.23","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
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Release files / statembed_py-1.0.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | statembed_py-1.0.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl |
|---|---|
| Size | 2.2 MB |
| Tags | CPython 3.10 Linux glibc 2.17+ x86-32 |
|
SHA-256 checksum How to use checksums |
30e5a11eb646cd20ed9850d034a8279846ae9bf8602c7b56237f641364746521
|
|
BLAKE2b-256 checksum How to use checksums |
b9344923120ad4084e270e7d5fe112a42ec2181a2a5e5d168a54c6eeaca074da
|
| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.12.23 {"installer":{"name":"uv","version":"0.12.23","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
|
Release files / statembed_py-1.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | statembed_py-1.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|---|---|
| Size | 2.1 MB |
| Tags | CPython 3.10 Linux glibc 2.17+ ARM64 |
|
SHA-256 checksum How to use checksums |
5b460d439da3f83e49892bb5c087d2cb6bf02157a30cc083d7d71c15151c8323
|
|
BLAKE2b-256 checksum How to use checksums |
e4c15498642424cea9a6f32dacc33c763e43e84f6dba06e844b281d581b7ca9a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.12.23 {"installer":{"name":"uv","version":"0.12.23","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
|
Security for statembed-py 1.0.0
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