get_initial_tokens

Build the initial token sequence for decoder input.

Speech-to-text transcription using a native R 'torch' implementation
of 'OpenAI' 'Whisper' model <https://github.com/openai/whisper>. Supports
multiple model sizes from tiny (39M parameters) to large-v3 (1.5B parameters)
with integrated download from 'HuggingFace' <https://huggingface.co/> via the
'hfhub' package. Provides automatic speech recognition with optional language
detection and translation to English. Audio preprocessing, mel spectrogram
computation, and transformer-based encoder-decoder inference are all
implemented in R using the 'torch' package.

Troy Hernandez

whisper

Native R 'torch' Implementation of 'OpenAI' 'Whisper'

cornball.ai 

OpenAI 

get_initial_tokens function

<dl><dt>language</dt>
<dd>Two-letter language code or NULL for auto</dd>
<dt>task</dt>
<dd>"transcribe" or "translate"</dd>
<dt>model</dt>
<dd>Model name for correct special token IDs</dd>
<dt>timestamps</dt>
<dd>Whether to include timestamps (internal use)</dd></dl>

Arguments

Get Initial Decoder Tokens — get_initial_tokens

<dl>

<dt>language</dt>
<dd>Two-letter language code or NULL for auto</dd>


<dt>task</dt>
<dd>"transcribe" or "translate"</dd>


<dt>model</dt>
<dd>Model name for correct special token IDs</dd>


<dt>timestamps</dt>
<dd>Whether to include timestamps (internal use)</dd>

</dl>

get_initial_tokens: Get Initial Decoder Tokens

Description

Usage

Value

Arguments