FastText Multithreading Inference

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Project description

Multithreading For FastText

pip install fasttext-parallel

import fasttext_parallel as ft
model = ft.load_model("./model/lid.176.bin")
result = model.batch(["你好", "how are you"])

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0.1.4

Jan 30, 2023

0.1.3

Jan 8, 2023

This version

0.1.2

Jan 8, 2023

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SHA256	`93c26a627bc162d87e368980317d4d873aedf5390fcd7cf1741f418d299cd6ad`
MD5	`9420f9f7c49590df8970c3e0db94fd3c`
BLAKE2b-256	`0e64754621c227fde0c2864dd8ba7ebb2345e8d472bdffa08471de541b7606b9`

Hashes for fasttext_parallel-0.1.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for fasttext_parallel-0.1.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`3f22196845c6985479143ac297e1bc8880fc195fcbff39f31f659df4886070e8`
MD5	`d12c68551e22b464b32dcd65689ba237`
BLAKE2b-256	`dd7c9b64a11ce2eaf31c1ed67bf530cc5dff21a79b4344dc63ce7818440e31ef`

Hashes for fasttext_parallel-0.1.2-cp37-cp37m-macosx_10_9_x86_64.macosx_10_9_arm64.macosx_10_9_universal2.whl

Hashes for fasttext_parallel-0.1.2-cp37-cp37m-macosx_10_9_x86_64.macosx_10_9_arm64.macosx_10_9_universal2.whl
Algorithm	Hash digest
SHA256	`61bc70c2ad5468b130fb29073c8c01a42119cab08f1b02d7b6ada7fa788d4d4c`
MD5	`c129e46c762260bdf13f66786163f54b`
BLAKE2b-256	`5c3285da2e8d4aaa28a88b8185193950e3f09f7bd3bf1b1787ed64b0aa4d2580`