onecxi / audio-classification updated 1 year ago

open-vakgyata

Name: open-vakgyata
Author: onecxi

Model Overview: open-vakgyata is an open-source language identification model capable of detecting and classifying indian languages from speech inputs.

Params

60 M

Context

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Downloads 30d

278 K

Likes

Commercial use: not allowed · cc-by-nc-4.0 Not gated SAFETENSORS 10 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

279 K262 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	0.2 GB	0.8 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: Wav2Vec2ForSequenceClassification
Parameters: 60 M
Tensor type: F32
Vocabulary: 154
Layers / heads: 2 / 16
Licence: cc-by-nc-4.0
First seen on the Hub: 2025-03-01
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

clap-htsat-fused 6.9 M ast-finetuned-audioset-10-10-0.4593 1.2 M wav2vec2-large-robust-12-ft-emotion-msp-dim 751 K wav2vec2-large-xlsr-53-gender-recognition-librispeech 626 K MERT-v1-330M 560 K audiobox-aesthetics 401 K

Appears in

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