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Tiredsheep
/
O2O
like
0
License:
apache-2.0
Model card
Files
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xet
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78bb2e4
O2O
/
O2O-w-diff-ckpts
/
cube-double-play-singletask-task2-v0
/
20260311_125821
2.09 GB
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1 commit
Tiredsheep
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env.csv
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env_sv.csv
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eval.csv
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eval_sv.csv
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online_agent.csv
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online_agent_sv.csv
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params_350000.pkl
pickle
Detected Pickle imports (4)
"numpy.core.multiarray._reconstruct"
,
"jax._src.array._reconstruct_array"
,
"numpy.ndarray"
,
"numpy.dtype"
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208 MB
xet
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params_400000.pkl
pickle
Detected Pickle imports (4)
"numpy.core.multiarray._reconstruct"
,
"jax._src.array._reconstruct_array"
,
"numpy.ndarray"
,
"numpy.dtype"
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208 MB
xet
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params_450000.pkl
pickle
Detected Pickle imports (4)
"numpy.core.multiarray._reconstruct"
,
"jax._src.array._reconstruct_array"
,
"numpy.ndarray"
,
"numpy.dtype"
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208 MB
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params_500000.pkl
pickle
Detected Pickle imports (4)
"numpy.core.multiarray._reconstruct"
,
"jax._src.array._reconstruct_array"
,
"numpy.ndarray"
,
"numpy.dtype"
How to fix it?
208 MB
xet
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params_550000.pkl
pickle
Detected Pickle imports (4)
"numpy.core.multiarray._reconstruct"
,
"jax._src.array._reconstruct_array"
,
"numpy.ndarray"
,
"numpy.dtype"
How to fix it?
208 MB
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params_600000.pkl
pickle
Detected Pickle imports (4)
"numpy.core.multiarray._reconstruct"
,
"jax._src.array._reconstruct_array"
,
"numpy.ndarray"
,
"numpy.dtype"
How to fix it?
208 MB
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params_650000.pkl
pickle
Detected Pickle imports (4)
"numpy.core.multiarray._reconstruct"
,
"jax._src.array._reconstruct_array"
,
"numpy.ndarray"
,
"numpy.dtype"
How to fix it?
208 MB
xet
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params_700000.pkl
pickle
Detected Pickle imports (4)
"numpy.core.multiarray._reconstruct"
,
"jax._src.array._reconstruct_array"
,
"numpy.ndarray"
,
"numpy.dtype"
How to fix it?
208 MB
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params_750000.pkl
pickle
Detected Pickle imports (4)
"numpy.core.multiarray._reconstruct"
,
"jax._src.array._reconstruct_array"
,
"numpy.ndarray"
,
"numpy.dtype"
How to fix it?
208 MB
xet
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about 1 month ago
params_800000.pkl
pickle
Detected Pickle imports (4)
"numpy.core.multiarray._reconstruct"
,
"jax._src.array._reconstruct_array"
,
"numpy.ndarray"
,
"numpy.dtype"
How to fix it?
208 MB
xet
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progress.tk
13 Bytes
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token.tk
91 Bytes
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