fasttext-rs 0.1.0

A Rust-backed Python implementation of Facebook's fastText

[!WARNING] This was completely AI-generated. Running on a ralph wiggum loop to see what was possible. I HAVE NOT checked the code.

fasttext.rs

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

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.

Installation

uv pip install -e .

Quick start

import fasttext_rs

# Train
model = fasttext_rs.train_supervised(input="data/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")

Development

make           # Show all commands