Fetching metadata from the HF Docker repository...
Version pre commit
5aabbb6
verified
-
cache_model_prediction
chore add cache Deppseek-R1-Distill-Llama-70B
-
models_logo
fix path in app.py
-
1.63 kB
Css, Prop vs Non-Prop, Metrics Update (#11)
-
3.54 kB
fix path in app.py
-
250 Bytes
removed python version
-
119 kB
Version pre commit
-
891 kB
fix missing db_schema
-
1.74 MB
fix missing db_schema
-
7.73 MB
Add TQA task (#21)
-
15.6 MB
Css, Prop vs Non-Prop, Metrics Update (#11)
-
44.2 kB
Upload metrics_random_csv (#5)
-
307 Bytes
Css, Prop vs Non-Prop, Metrics Update (#11)
-
4.89 kB
chore: removed unused pipeline
-
909 kB
Css, Prop vs Non-Prop, Metrics Update (#11)
-
524 Bytes
chore: removed gradio requirements
-
3.6 kB
db_schema , csv fix, check columns and number tables, eval markdown, style (#16)
-
9.38 kB
Prediction, Tables samples (#12)
tables_dict.pkl
Detected Pickle imports (10)
- "pandas.core.internals.managers.BlockManager",
- "numpy._core.multiarray._reconstruct",
- "pandas.core.indexes.base._new_Index",
- "pandas._libs.internals._unpickle_block",
- "pandas.core.indexes.range.RangeIndex",
- "numpy.ndarray",
- "builtins.slice",
- "pandas.core.indexes.base.Index",
- "numpy.dtype",
- "pandas.core.frame.DataFrame"
How to fix it?
22.8 kB
Prediction, Tables samples (#12)
tables_dict_beaver.pkl
Detected Pickle imports (10)
- "pandas.core.frame.DataFrame",
- "pandas.core.indexes.base._new_Index",
- "numpy.ndarray",
- "pandas.core.indexes.base.Index",
- "builtins.slice",
- "pandas.core.internals.managers.BlockManager",
- "numpy.dtype",
- "pandas.core.indexes.range.RangeIndex",
- "numpy._core.multiarray._reconstruct",
- "pandas._libs.internals._unpickle_block"
How to fix it?
25.7 kB
Beaver added (#20)
-
316 Bytes
feat: add TQA prompt and db_schema with INSERT INTO
-
463 Bytes
chore: update test prediction for QA
-
17.8 kB
More stable version. Link all acc, but still miss prediction (#6)
-
8.02 kB
Fix prompts buttons, and NL2SQL bug (#24)
-
4.88 kB
Fix prompts buttons, and NL2SQL bug (#24)
