List all available pretrained models
list_models.RdDisplays a table of all models that can be downloaded with
download_pretrained(), along with their metadata.
Arguments
- type
Optional filter: "static" for embedding models, "diachronic" for temporal models, "stm" for topic models, or NULL for all.
- language
Optional filter: "English", "French", "German", "Chinese", or NULL for all.
- downloaded_only
If TRUE, only show models that have been downloaded (always includes bundled models).
Examples
list_models()
#> Available models:
#> model language n_terms n_dims method
#> stm_fiction_cohort English 1000 204 STM
#> stm_envsoc English 817 NA STM
#> vecs_fasttext300_wiki_news English 1000000 300 fastText
#> vecs_fasttext300_wiki_news_subword English 1000000 300 fastText
#> vecs_fasttext300_commoncrawl English 2000000 300 fastText
#> vecs_glove300_wiki_gigaword English 400000 300 GloVe
#> vecs_glove50_twitter English 1193514 50 GloVe
#> vecs_glove200_twitter English 1193514 200 GloVe
#> vecs_cbow300_googlenews English 3000000 300 CBOW
#> vecs_sgns300_bnc_pos English 163473 300 SGNS
#> vecs_sgns300_googlengrams_kte_en English 928250 300 SGNS
#> vecs_glove300_metal_lyrics English 52885 300 GloVe
#> vecs_svd20_metal_type English 54187 20 SVD
#> vecs_svd20_metal_position English 74 20 SVD
#> vecs_sgns300_coha_histwords English 50000 300 SGNS
#> vecs_sgns300_googlengrams_histwords English 100000 300 SGNS
#> vecs_sgns300_googlengrams_fic_histwords English 100000 300 SGNS
#> vecs_sgns300_googlengrams_histwords_fr French 100000 300 SGNS
#> vecs_sgns300_googlengrams_histwords_de German 100000 300 SGNS
#> vecs_sgns300_googlengrams_histwords_zh Chinese 29701 300 SGNS
#> vecs_svd300_googlengrams_histwords English 75682 300 SVD
#> vecs_sgns200_british_news English 78879 200 SGNS
#> type downloaded
#> stm Bundled
#> stm Bundled
#> static Not downloaded
#> static Not downloaded
#> static Not downloaded
#> static Not downloaded
#> static Not downloaded
#> static Not downloaded
#> static Not downloaded
#> static Not downloaded
#> static Not downloaded
#> static Not downloaded
#> static Not downloaded
#> static Not downloaded
#> diachronic Not downloaded
#> diachronic Not downloaded
#> diachronic Not downloaded
#> diachronic Not downloaded
#> diachronic Not downloaded
#> diachronic Not downloaded
#> diachronic Not downloaded
#> diachronic Not downloaded
list_models(type = "diachronic")
#> Model results:
#> model language n_terms n_dims method
#> vecs_sgns300_coha_histwords English 50000 300 SGNS
#> vecs_sgns300_googlengrams_histwords English 100000 300 SGNS
#> vecs_sgns300_googlengrams_fic_histwords English 100000 300 SGNS
#> vecs_sgns300_googlengrams_histwords_fr French 100000 300 SGNS
#> vecs_sgns300_googlengrams_histwords_de German 100000 300 SGNS
#> vecs_sgns300_googlengrams_histwords_zh Chinese 29701 300 SGNS
#> vecs_svd300_googlengrams_histwords English 75682 300 SVD
#> vecs_sgns200_british_news English 78879 200 SGNS
#> type downloaded
#> diachronic Not downloaded
#> diachronic Not downloaded
#> diachronic Not downloaded
#> diachronic Not downloaded
#> diachronic Not downloaded
#> diachronic Not downloaded
#> diachronic Not downloaded
#> diachronic Not downloaded
list_models(downloaded_only = TRUE)
#> Model results:
#> model language n_terms n_dims method type downloaded
#> stm_fiction_cohort English 1000 204 STM stm Bundled
#> stm_envsoc English 817 NA STM stm Bundled