The 'fastai' <https://docs.fast.ai/index.html> library
simplifies training fast and accurate neural networks
using modern best practices. It is based on research
in to deep learning best practices undertaken
at 'fast.ai', including 'out of the box' support
for vision, text, tabular, audio, time series, and
collaborative filtering models.

Interface to 'fastai'

package-ubuntu-20.04-r-4.0.5#cran#fastai-2.0.7

<p>Reversible transform of a list of category string to 'vocab' id
</p>

HF_TokenCategorize(vocab = NULL, ignore_token = NULL, ignore_token_id = NULL)

<table summary="R argblock">
<tr valign="top">
<td><code>vocab</code></td>
<td>
<p>vocabulary</p>
</td>
</tr>
<tr valign="top">
<td><code>ignore_token</code></td>
<td>
<p>ignore token</p>
</td>
</tr>
<tr valign="top">
<td><code>ignore_token_id</code></td>
<td>
<p>ignore token id</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#fastai-2.0.7#docs#HF_TokenCategorize

HF_TokenCategorize

Description

Usage

Arguments

Value

fastai

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`vocab`	vocabulary
`ignore_token`	ignore token
`ignore_token_id`	ignore token id