yhatlabs
/

ChakraTab

Tabular Classification

tabular-regression

foundation-model

in-context-learning

probabilistic-prediction

Eval Results (legacy)

Model card Files Files and versions

Shubham Agrawal commited on 4 days ago

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273238e

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1 Parent(s): 07e07a5

Request access link: /models/access

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@@ -37,7 +37,7 @@ model-index:
 Send a table with a target column and the rows to score; get back class probabilities or point predictions. ChakraTab fits in-context on your table at request time: no training pipeline, no hyperparameters to search, calibrated probabilities for classification and quantile-ready predictions for regression. It is listed on TabArena as **Chakra-Tab**.
 - Website: https://yhatlabs.com
-- Request API access: https://yhatlabs.com/access
 - Time-series model: [yhatlabs/ChakraTS](https://huggingface.co/yhatlabs/ChakraTS)
 - Leaderboards: [TabArena](https://huggingface.co/spaces/TabArena/leaderboard) (submission under review, [PR #643](https://github.com/autogluon/tabarena/pull/643))

 Send a table with a target column and the rows to score; get back class probabilities or point predictions. ChakraTab fits in-context on your table at request time: no training pipeline, no hyperparameters to search, calibrated probabilities for classification and quantile-ready predictions for regression. It is listed on TabArena as **Chakra-Tab**.
 - Website: https://yhatlabs.com
+- Request API access: https://yhatlabs.com/models/access
 - Time-series model: [yhatlabs/ChakraTS](https://huggingface.co/yhatlabs/ChakraTS)
 - Leaderboards: [TabArena](https://huggingface.co/spaces/TabArena/leaderboard) (submission under review, [PR #643](https://github.com/autogluon/tabarena/pull/643))