Downloads · 30 days
5
4% of all-time downloads
word-embeddings-1830
tx-smitht/word-embeddings-1830
word-embeddings-1830 is a machine learning model from tx-smitht. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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…
All-time downloads
118
Public
Repo size
18.6 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin9.2 MB · 98%
At a glance
- License
- mit
- Model type
- word_embedding
- Access
- Public
- Created
- Mar 10, 2025
- Updated
- Mar 12, 2025
- SHA
- d6c5c42f
Datasets
Model card
From the Hugging Face model README
Word Embeddings Model - 1830s Text
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.
Model Details
- Embedding dimension: 384
- Training corpus: Book of Mormon (1830 edition)
- Architecture: Transformer-based embedding model
- Context window size: 256
- Vocabulary size: 5999
Usage
from huggingface_hub import from_pretrained
model = WordEmbeddingModel.from_pretrained('tx-smitht/word-embeddings-1830')
Training Data
The model was trained on the 1830 edition of the Book of Mormon, representing historical English language patterns from the early 19th century.
Limitations
- Domain-specific vocabulary focused on religious and historical text
- Limited to early 19th-century American English language patterns
- Type
- word_embedding
- License
- mit
- Languages
- en
- Created
- Mar 10, 2025
- Updated
- Mar 12, 2025