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Tiredsheep
/
O2O
like
0
License:
apache-2.0
Model card
Files
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xet
Community
23d3d5d
O2O
/
O2O-w-diff-ckpts
/
cube-double-play-singletask-task2-v0
/
qam
/
20260319_142334
2.39 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_1000000.pkl
pickle
Detected Pickle imports (4)
"numpy.dtype"
,
"jax._src.array._reconstruct_array"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.ndarray"
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238 MB
xet
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params_1050000.pkl
pickle
Detected Pickle imports (4)
"numpy.dtype"
,
"jax._src.array._reconstruct_array"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.ndarray"
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238 MB
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params_1100000.pkl
pickle
Detected Pickle imports (4)
"numpy.dtype"
,
"jax._src.array._reconstruct_array"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.ndarray"
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238 MB
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params_1150000.pkl
pickle
Detected Pickle imports (4)
"numpy.dtype"
,
"jax._src.array._reconstruct_array"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.ndarray"
How to fix it?
238 MB
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params_1200000.pkl
pickle
Detected Pickle imports (4)
"numpy.dtype"
,
"jax._src.array._reconstruct_array"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.ndarray"
How to fix it?
238 MB
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params_1250000.pkl
pickle
Detected Pickle imports (4)
"numpy.dtype"
,
"jax._src.array._reconstruct_array"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.ndarray"
How to fix it?
238 MB
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params_1300000.pkl
pickle
Detected Pickle imports (4)
"numpy.dtype"
,
"jax._src.array._reconstruct_array"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.ndarray"
How to fix it?
238 MB
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params_850000.pkl
pickle
Detected Pickle imports (4)
"numpy.dtype"
,
"jax._src.array._reconstruct_array"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.ndarray"
How to fix it?
238 MB
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params_900000.pkl
pickle
Detected Pickle imports (4)
"numpy.dtype"
,
"jax._src.array._reconstruct_array"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.ndarray"
How to fix it?
238 MB
xet
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params_950000.pkl
pickle
Detected Pickle imports (4)
"numpy.dtype"
,
"jax._src.array._reconstruct_array"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.ndarray"
How to fix it?
238 MB
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progress.tk
13 Bytes
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token.tk
91 Bytes
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