hf-processors-rs (Python)
Hugging Face transformers image and audio preprocessors reproduced bit-exactly in Rust:
CLIP, ViT, SigLIP, ConvNeXt, BLIP, Qwen2-VL / Qwen2.5-VL / Qwen3-VL and Whisper. Both
transformers v5 backends are covered (backend="torchvision", the default, and backend="pil"),
and decoding plus preprocessing run in Rust with the GIL released, in parallel over the batch.
Status: alpha. See the project README for the exactness tables, tests and benchmarks.
pip install hf-processors-rs
import hf_processors_rs as hpr
proc = hpr.AutoImageProcessor.from_pretrained("openai/clip-vit-base-patch32")
pixel_values = proc(["cat.jpg", "dog.png"]) # numpy float32 (2, 3, 224, 224)
qwen = hpr.AutoImageProcessor.from_pretrained("Qwen/Qwen2-VL-2B-Instruct", backend="pil")
out = qwen("cat.jpg") # {"pixel_values", "image_grid_thw"}
fe = hpr.AutoFeatureExtractor.from_pretrained("openai/whisper-tiny")
feats = fe(audio, sampling_rate=16000)["input_features"] # (1, 80, 3000)
Inputs can be PIL images, uint8 numpy arrays, torch uint8 tensors, file paths or encoded
bytes. Paths and bytes are checked against a pixel limit before decoding, with Pillow's
Image.MAX_IMAGE_PIXELS semantics (hpr.set_max_image_pixels(n) / None;
DecompressionBombWarning above the limit, DecompressionBombError above twice the limit).
License
MIT OR Apache-2.0. The compiled extension statically links libjpeg-turbo (IJG and BSD-3-Clause
licenses) and permissively licensed Rust crates; all their license texts are included in the
distribution (.dist-info/licenses/). This software is based in part on the work of the
Independent JPEG Group.
1 maintainer
Metadata
1 maintainer
Release files for hf-processors-rs 0.1.0
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| hf_processors_rs-0.1.0-cp39-abi3-manylinux_2_28_x86_64.whl | CPython 3.9 | abi3 | Linux glibc 2.28+ x86-64 | Details |
| hf_processors_rs-0.1.0-cp39-abi3-manylinux_2_28_aarch64.whl | CPython 3.9 | abi3 | Linux glibc 2.28+ ARM64 | Details |
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| hf_processors_rs-0.1.0-cp39-abi3-macosx_10_12_x86_64.whl | CPython 3.9 | abi3 | macOS 10.12+ x86-64 | Details |
Total release size: 10.5 MB
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