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ZhuangXialie
/
Role-Model-Cube-Vision
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0
Safetensors
llama
License:
apache-2.0
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6e1a3a8
Role-Model-Cube-Vision
1 contributor
History:
20 commits
ZhuangXialie
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README.md
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config.json
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rng_state_1.pth
pickle
Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"torch._utils._rebuild_tensor_v2"
,
"torch.ByteStorage"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"_codecs.encode"
,
"numpy.dtype"
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16 kB
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rng_state_3.pth
pickle
Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"torch._utils._rebuild_tensor_v2"
,
"torch.ByteStorage"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"_codecs.encode"
,
"numpy.dtype"
How to fix it?
16 kB
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rng_state_4.pth
pickle
Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"torch._utils._rebuild_tensor_v2"
,
"torch.ByteStorage"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"_codecs.encode"
,
"numpy.dtype"
How to fix it?
16 kB
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rng_state_5.pth
pickle
Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"torch._utils._rebuild_tensor_v2"
,
"torch.ByteStorage"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"_codecs.encode"
,
"numpy.dtype"
How to fix it?
16 kB
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rng_state_6.pth
pickle
Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"torch._utils._rebuild_tensor_v2"
,
"torch.ByteStorage"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"_codecs.encode"
,
"numpy.dtype"
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16 kB
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scheduler.pt
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Pickle imports
No problematic imports detected
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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trainer_state.json
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training_args.bin
pickle
Detected Pickle imports (13)
"transformers.training_args.OptimizerNames"
,
"transformers.trainer_utils.SchedulerType"
,
"accelerate.utils.dataclasses.DistributedType"
,
"accelerate.utils.dataclasses.DeepSpeedPlugin"
,
"transformers.integrations.deepspeed.HfDeepSpeedConfig"
,
"accelerate.state.PartialState"
,
"transformers.trainer_utils.IntervalStrategy"
,
"transformers.integrations.deepspeed.HfTrainerDeepSpeedConfig"
,
"transformers.trainer_pt_utils.AcceleratorConfig"
,
"torch.device"
,
"transformers.trainer_utils.HubStrategy"
,
"torch.bfloat16"
,
"transformers.training_args_seq2seq.Seq2SeqTrainingArguments"
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zero_to_fp32.py
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