Package: torchtransformers 0.0.0.9600
torchtransformers: Transformer Models in Torch
Work with transformer models in R using torch.
Authors:
torchtransformers_0.0.0.9600.tar.gz
torchtransformers_0.0.0.9600.zip(r-4.5)torchtransformers_0.0.0.9600.zip(r-4.4)torchtransformers_0.0.0.9600.zip(r-4.3)
torchtransformers_0.0.0.9600.tgz(r-4.4-any)torchtransformers_0.0.0.9600.tgz(r-4.3-any)
torchtransformers_0.0.0.9600.tar.gz(r-4.5-noble)torchtransformers_0.0.0.9600.tar.gz(r-4.4-noble)
torchtransformers_0.0.0.9600.tgz(r-4.4-emscripten)torchtransformers_0.0.0.9600.tgz(r-4.3-emscripten)
torchtransformers.pdf |torchtransformers.html✨
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
Last updated 1 years agofrom:513d9b51c1. Checks:OK: 1 ERROR: 6. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | ERROR | Oct 31 2024 |
R-4.5-linux | ERROR | Oct 31 2024 |
R-4.4-win | ERROR | Oct 31 2024 |
R-4.4-mac | ERROR | Oct 31 2024 |
R-4.3-win | ERROR | Oct 31 2024 |
R-4.3-mac | ERROR | Oct 31 2024 |
Exports:attention_bertavailable_bertsconfig_bertdataset_bertdataset_bert_pretrainedembeddings_bertincrement_list_indexluz_callback_bert_tokenizemodel_bertmodel_bert_pretrainedposition_embeddingproj_add_normsimplify_bert_token_listtokenize_berttransformer_encoder_berttransformer_encoder_single_bert
Dependencies:bitbit64cachemcallrclicorodescdigestdlrellipsisfastmapfastmatchfsgluejsonlitelifecyclemagrittrmemoisepiecemakerprocessxpspurrrR6rappdirsRcpprlangsafetensorsstringistringrtorchvctrswithrwordpiecewordpiece.data
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 |