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

Specs, VRAM requirements and download trends — updated 6 August 2026.

alefiury · A
Params
320 M
Context
30d
626 K
apache-2.0 · commercial OK
xbgoose · B
Params
320 M
Context
30d
248 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 626,341 247,910
Downloads all time 7.9 M 4.1 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 10 days (28 Jul – 6 Aug)

911 K248 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