Model reference · open weights

whisper-small-fa

Audio hezarai Speech→text 1 build Licence not stated 8k dl/mo

whisper-small-fa is an open-weight audio or speech model from hezarai. whisper-small-fa (BF16) weighs 967 MB; the smallest configuration that runs it is RTX 3060 12 GB.

What it is

Released byhezarai
Released2023-08-15
VRAM967 MB for the weights

What it runs on

Memory and cards for whisper-small-fa (BF16)

967 MBweights, file size
1.6 GBruntime overhead
CardOne streamMemory
RTX 3060 12 GBfits11.6 GB
RTX 4060 Ti 16 GBfits15.4 GB
RTX 3090 24 GBfits23.4 GB
RTX 4090 24 GBfits23.4 GB
RTX 5090 32 GBfits31.0 GB
L40S 48 GBfits44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

From the model card

What hezarai says about whisper-small-fa

Whisper (small) model finetuned on Persian portion of the Common Voice dataset by Hezar AI.

Usage

pip install hezar
from hezar.models import Model

whisper = Model.load("hezarai/whisper-small-fa")
transcripts = whisper.predict("speech_example.mp3")
print(transcripts)

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

How it works

How audio & music work

Audio or textinputAudio modelrecognise / synthesiseText or audiooutputSpeech-to-text turns audio into text; text-to-speech and music models turn text into audio.
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