tokenizer_encode

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 

tokenizer_encode function

<dl><dt>text</dt>
<dd>Character string to encode</dd>
<dt>vocab</dt>
<dd>Vocabulary mapping (token -&gt; id)</dd>
<dt>merge_ranks</dt>
<dd>Merge ranking for BPE</dd></dl>

Arguments

Encode Text to Token IDs — tokenizer_encode

<dl>

<dt>text</dt>
<dd>Character string to encode</dd>


<dt>vocab</dt>
<dd>Vocabulary mapping (token -&gt; id)</dd>


<dt>merge_ranks</dt>
<dd>Merge ranking for BPE</dd>

</dl>

tokenizer_encode: Encode Text to Token IDs

Description

Usage

Value

Arguments