MahmoudAshraf / automatic-speech-recognition updated 3 months ago

mms-300m-1130-forced-aligner

Name: mms-300m-1130-forced-aligner
Author: MahmoudAshraf

This Python package provides an efficient way to perform forced alignment between text and audio using Hugging Face's pretrained models. it also features an improved implementation to use much less memory than TorchAudio forced alignment API.

Params

320 M

Context

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Downloads 30d

2.5 M

Likes

Commercial use: not allowed · cc-by-nc-4.0 Not gated SAFETENSORS 158 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

2.5 M2.4 M

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f32	1.3 GB	1.9 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture: Wav2Vec2ForCTC
Parameters: 320 M
Tensor type: F32
Vocabulary: 31
Layers / heads: 24 / 16
Licence: cc-by-nc-4.0
First seen on the Hub: 2024-05-02
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

speaker-diarization-3.1 8.9 M whisper-large-v3-turbo 8.7 M whisperkit-coreml 8.3 M speaker-diarization-community-1 5.3 M wav2vec2-large-xlsr-53-portuguese 4.6 M wav2vec2-large-xlsr-53-russian 4.0 M

Appears in

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