wav2vec2-large-xlsr-53-gender-recognition-librispeech vs hubert-large-speech-emotion-recognition-russian-dusha-finetuned

Specs, VRAM requirements and download trends — updated 2 November 2026.

alefiury · A · Open weights
Params
320 M
Context
—
30d
835 K
apache-2.0 · commercial OK
xbgoose · B · Open weights
Params
320 M
Context
—
30d
214 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification wav2vec2-large-xlsr-53-gender-recognition-librispeech hubert-large-speech-emotion-recognition-russian-dusha-finetuned
Parameters 320 M 320 M
Architecture Wav2Vec2ForSequenceClassification HubertForSequenceClassification
Context length — —
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages — 1
Downloads 30d 834,791 214,389
Downloads all time 10.4 M 4.8 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2023-04-24 2023-05-28

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

1.1 M213 K
wav2vec2-large-xlsr-53-gender-recognition-librispeech hubert-large-speech-emotion-recognition-russian-dusha-finetuned

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

wav2vec2-large-xlsr-53-gender-recognition-librispeech · fp16 1.9 GB / 24 GB
✅ Runs comfortably
hubert-large-speech-emotion-recognition-russian-dusha-finetuned · fp16 1.9 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons