eddiegulay / automatic-speech-recognition updated 2 years ago

wav2vec2-large-xlsr-mvc-swahili

Name: wav2vec2-large-xlsr-mvc-swahili
Author: eddiegulay

There was an issue with vocab, seems like there are special characters included and they were not considered during training You could try python from transformers import AutoProcessor, AutoModelForCTC

Params

320 M

Context

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Downloads 30d

476 K

Likes

Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

610 K408 K

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: 59
Layers / heads: 24 / 16
Licence: apache-2.0
First seen on the Hub: 2023-11-06
Training datasets: common_voice_13_0
common_voice_13_0 (reported): 0.2
Added to our catalog: 2026-07-28

Compare with

speaker-diarization-3.1 8.9 M whisperkit-coreml 8.3 M whisper-large-v3 5.5 M speaker-diarization-community-1 5.3 M whisper-base 4.8 M wav2vec2-large-xlsr-53-portuguese 4.6 M

Appears in

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