Text Classification
LiteRT
LiteRT
multilingual
text
topic-classification
content-classification
multi-label
on-device
core-ml
Instructions to use desert-ant-labs/gist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use desert-ant-labs/gist with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 823 Bytes
8b50402 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 | {
"sem_model": "potion",
"slugs": [
"arts-culture",
"business",
"finance",
"career",
"technology",
"science",
"health-fitness",
"food-drink",
"travel",
"education",
"news-politics",
"society-culture",
"comedy",
"music",
"film-tv",
"gaming",
"sports",
"lifestyle-fashion",
"home-garden",
"parenting-family",
"relationships",
"self-improvement",
"spirituality-religion",
"history",
"true-crime",
"creator-economy",
"pets-animals",
"automotive",
"beauty",
"shopping-deals",
"outdoors-nature",
"books-literature",
"real-estate",
"photography-video",
"crafts-hobbies",
"law"
],
"dim": 8448,
"hidden": 384,
"ngram_dim": 8192,
"threshold": 0.5,
"precision_at_1": 0.845
} |