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fasttext.rs

A Rust-backed Python implementation of Facebook's fastText.

Installation

uv add fasttext-rs
# or
uv pip install fasttext-rs

Quick start

import fasttext_rs

# Train
model = fasttext_rs.train_supervised(input="cooking.train", epoch=25, lr=1.0, word_ngrams=2)

# Predict
labels, probs = model.predict("Which baking dish is best?")

# Vectors
vec = model.get_word_vector("hello")

# Save / Load
model.save_model("model.bin")
model = fasttext_rs.load_model("model.bin")

Performance

Benchmarked on the cooking.stackexchange dataset (12k training, 3k validation) with default parameters, single-threaded. Median of 5 runs, Apple M3 Pro.

Task fasttext (C++) fasttext.rs (Rust) Speedup
Training (5 epochs) 12.633s 6.406s 1.97x
Inference (3000 samples) 0.443s 0.218s 2.03x
Precision@1 0.1363 0.1543 —
Recall@1 0.0590 0.0703 —

Run make bench to reproduce.

Development

make           # Show all commands

Key dates

PyPI data
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  • Released:
Latest release

1 maintainer

PyPI data
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Avatar for duarteocarmo from gravatar.com duarteocarmo

Requires

Python >=3.9

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