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BleachNick
/
MMICL-Instructblip-T5-xxl
like
11
Image-Text-to-Text
Transformers
PyTorch
English
instructblip
Inference Endpoints
arxiv:
2309.07915
License:
mit
Model card
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4
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refs/pr/3
MMICL-Instructblip-T5-xxl
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model-00001-of-00003.safetensors
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model-00002-of-00003.safetensors
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model-00003-of-00003.safetensors
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model.safetensors.index.json
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pytorch_model-00001-of-00003.bin
pickle
Detected Pickle imports (4)
"torch._utils._rebuild_tensor_v2"
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"torch.BFloat16Storage"
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"torch.LongStorage"
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"collections.OrderedDict"
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pytorch_model-00002-of-00003.bin
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"torch.BFloat16Storage"
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"collections.OrderedDict"
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pytorch_model-00003-of-00003.bin
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pytorch_model.bin.index.json
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rng_state_0.pth
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Detected Pickle imports (7)
"_codecs.encode"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"torch.ByteStorage"
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rng_state_1.pth
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Detected Pickle imports (7)
"_codecs.encode"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"torch.ByteStorage"
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rng_state_2.pth
pickle
Detected Pickle imports (7)
"_codecs.encode"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"torch.ByteStorage"
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rng_state_3.pth
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Detected Pickle imports (7)
"_codecs.encode"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"torch.ByteStorage"
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rng_state_4.pth
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Detected Pickle imports (7)
"_codecs.encode"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"torch.ByteStorage"
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rng_state_5.pth
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Detected Pickle imports (7)
"_codecs.encode"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.core.multiarray._reconstruct"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"torch.ByteStorage"
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trainer_state.json
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training_args.bin
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Detected Pickle imports (8)
"transformers.training_args.OptimizerNames"
,
"transformers.trainer_utils.SchedulerType"
,
"transformers.deepspeed.HfTrainerDeepSpeedConfig"
,
"transformers.trainer_utils.IntervalStrategy"
,
"arguments.ExtraTrainingArguments"
,
"torch.device"
,
"transformers.trainer_utils.HubStrategy"
,
"torch.bfloat16"
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zero_to_fp32.py
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