.get_model_archive_path

Character vector. Which model checkpoint to download.

model

Character vector. Destination directory for checkpoints. Leave
<code>NULL</code> to allow RBERT to automatically choose a directory. The path is
determined from the <code>dir</code> parameter if supplied, followed by the
`RBERT.dir` option (set using <a rd-options="" href="/link/set_BERT_dir?package=RBERT&version=0.1.11" data-mini-rdoc="RBERT::set_BERT_dir">set_BERT_dir</a>), followed by an "RBERT"
folder in the user cache directory (determined using
<code><a rd-options="rappdirs" href="/link/user_cache_dir?package=RBERT&version=0.1.11&to=rappdirs" data-mini-rdoc="rappdirs::user_cache_dir">user_cache_dir</a></code>). If you provide a <code>dir</code>, the
`RBERT.dir` option will be updated to that location. Note that the
checkpoint will create a subdirectory inside this <code>dir</code>.

How is the checkpoint archived? We currently support
"zip" and "tar-gzip". Leave NULL to infer from the <code>url</code>.

archive_type

Locate an archive file for a BERT checkpoint

internal

Use pretrained models from Google Research's BERT in R.

Jonathan Bratt

RBERT

R Implementation of BERT

Jon Harmon

 Google Inc.

.get_model_archive_path function

Character vector. Destination directory for checkpoints. Leave
<code>NULL</code> to allow RBERT to automatically choose a directory. The path is
determined from the <code>dir</code> parameter if supplied, followed by the
`RBERT.dir` option (set using <a rd-options='' href='set_BERT_dir'>set_BERT_dir</a>), followed by an "RBERT"
folder in the user cache directory (determined using
<code><a rd-options='rappdirs' href='user_cache_dir'>user_cache_dir</a></code>). If you provide a <code>dir</code>, the
`RBERT.dir` option will be updated to that location. Note that the
checkpoint will create a subdirectory inside this <code>dir</code>.

.get_model_archive_path: Locate an archive file for a BERT checkpoint

Description

Usage

Arguments

Value