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Package: torchtransformers 0.0.0.9600

Jonathan Bratt

torchtransformers: Transformer Models in Torch

Work with transformer models in R using torch.

Authors:Jonathan Bratt [aut, cre], Jon Harmon [aut], Bedford Freeman & Worth Pub Grp LLC DBA Macmillan Learning [cph]

torchtransformers_0.0.0.9600.tar.gz
torchtransformers_0.0.0.9600.zip(r-4.7)torchtransformers_0.0.0.9600.zip(r-4.6)torchtransformers_0.0.0.9600.zip(r-4.5)
torchtransformers_0.0.0.9600.tgz(r-4.6-any)torchtransformers_0.0.0.9600.tgz(r-4.5-any)
torchtransformers_0.0.0.9600.tar.gz(r-4.7-any)torchtransformers_0.0.0.9600.tar.gz(r-4.6-any)
torchtransformers_0.0.0.9600.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
torchtransformers/json (API)
NEWS

# Install 'torchtransformers' in R:

install.packages('torchtransformers', repos = c('https://jonthegeek.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/macmillancontentscience/torchtransformers/issues

On CRAN:

4.94 score 29 stars 8 scripts 16 exports 38 dependencies

Last updated from:513d9b51c1. Checks:7 ERROR, 2 OK. Indexed: no.

Target	Result	Time
linux-devel-x86_64	ERROR	140
source / vignettes	OK	178
linux-release-x86_64	ERROR	127
macos-release-arm64	ERROR	106
macos-oldrel-arm64	ERROR	88
windows-devel	ERROR	84
windows-release	ERROR	93
windows-oldrel	ERROR	92
wasm-release	OK	115

Exports:attention_bert available_berts config_bert dataset_bert dataset_bert_pretrained embeddings_bert increment_list_index luz_callback_bert_tokenize model_bert model_bert_pretrained position_embedding proj_add_norm simplify_bert_token_list tokenize_bert transformer_encoder_bert transformer_encoder_single_bert

Dependencies:bit bit64 cachem callr cli coro desc digest dlr farver fastmap fastmatch fs glue jsonlite labeling lifecycle magrittr memoise piecemaker processx ps purrr R6 rappdirs RColorBrewer Rcpp rlang safetensors scales stringi stringr torch vctrs viridisLite withr wordpiece wordpiece.data

Textual Entailment

Rendered fromentailment.Rmdusingknitr::rmarkdownon May 31 2026.

Last update: 2022-09-21
Started: 2022-06-02

Triplet Loss

Rendered fromtriplet_loss.Rmdusingknitr::rmarkdownon May 31 2026.

Last update: 2022-09-21
Started: 2022-05-13

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
BERT-Style Attention	attention_bert
Available BERT Models	available_berts
BERT Model Parameters	config_bert
BERT Dataset	dataset_bert
BERT Pretrained Dataset	dataset_bert_pretrained
Create BERT Embeddings	embeddings_bert
Convert from Python Standard to torch	increment_list_index
BERT Tokenization Callback	luz_callback_bert_tokenize
Construct a BERT Model	model_bert
Construct a Pretrained BERT Model	model_bert_pretrained
Create Position Embeddings	position_embedding
Project, Add, and Normalize	proj_add_norm
Simplify Token List to Matrix	simplify_bert_token_list
Prepare Text for a BERT Model	tokenize_bert
Transformer Stack	transformer_encoder_bert
Single Transformer Layer	transformer_encoder_single_bert