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JH-debug
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wiki_bm25_messy_same_data
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Text Generation
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PyTorch
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text-generation-inference
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wiki_bm25_messy_same_data
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History:
4 commits
JH-debug
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.gitattributes
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initial commit
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config.json
653 Bytes
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generation_config.json
132 Bytes
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latest
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pytorch_model-00001-of-00003.bin
pickle
Detected Pickle imports (3)
"torch._utils._rebuild_tensor_v2"
,
"torch.FloatStorage"
,
"collections.OrderedDict"
What is a pickle import?
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pytorch_model-00002-of-00003.bin
pickle
Detected Pickle imports (3)
"torch._utils._rebuild_tensor_v2"
,
"torch.FloatStorage"
,
"collections.OrderedDict"
What is a pickle import?
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pytorch_model-00003-of-00003.bin
pickle
Detected Pickle imports (3)
"torch._utils._rebuild_tensor_v2"
,
"torch.FloatStorage"
,
"collections.OrderedDict"
What is a pickle import?
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pytorch_model.bin.index.json
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rng_state_0.pth
pickle
Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"torch.ByteStorage"
,
"numpy.ndarray"
,
"collections.OrderedDict"
,
"numpy.dtype"
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rng_state_1.pth
pickle
Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"_codecs.encode"
,
"numpy.ndarray"
,
"collections.OrderedDict"
,
"torch.ByteStorage"
,
"numpy.dtype"
,
"torch._utils._rebuild_tensor_v2"
How to fix it?
15.9 kB
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rng_state_2.pth
pickle
Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"_codecs.encode"
,
"numpy.ndarray"
,
"collections.OrderedDict"
,
"torch.ByteStorage"
,
"numpy.dtype"
,
"torch._utils._rebuild_tensor_v2"
How to fix it?
15.9 kB
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rng_state_3.pth
pickle
Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"_codecs.encode"
,
"numpy.ndarray"
,
"collections.OrderedDict"
,
"torch.ByteStorage"
,
"numpy.dtype"
,
"torch._utils._rebuild_tensor_v2"
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15.9 kB
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special_tokens_map.json
105 Bytes
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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 (12)
"transformers.integrations.deepspeed.HfDeepSpeedConfig"
,
"transformers.integrations.deepspeed.HfTrainerDeepSpeedConfig"
,
"transformers.trainer_utils.IntervalStrategy"
,
"__main__.TrainingArguments"
,
"accelerate.state.PartialState"
,
"torch.float32"
,
"accelerate.utils.dataclasses.DistributedType"
,
"accelerate.utils.dataclasses.DeepSpeedPlugin"
,
"transformers.training_args.OptimizerNames"
,
"torch.device"
,
"transformers.trainer_utils.HubStrategy"
,
"transformers.trainer_utils.SchedulerType"
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zero_to_fp32.py
25.3 kB
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