This model provides word embeddings trained on historical text from the 1830s, specifically focusing on the Book of Mormon text. The embeddings capture semantic relationships between words in the context of early 19th-century religious literature.
1from huggingface_hub import from_pretrained
2
3model = WordEmbeddingModel.from_pretrained('tx-smitht/word-embeddings-1830')
The model was trained on the 1830 edition of the Book of Mormon, representing historical English language patterns from the early 19th century.
