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yuanzhoulvpi
/
vit-gpt2-image-chinese-captioning
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6
Image-Text-to-Text
Transformers
PyTorch
Safetensors
Chinese
vision-encoder-decoder
gpt2
vit
Inference Endpoints
License:
mit
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vit-gpt2-image-chinese-captioning
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yuanzhoulvpi
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Adding `safetensors` variant of this model (
#3
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added_tokens.json
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config.json
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generation_config.json
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model.safetensors
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optimizer.pt
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pickle
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"collections.OrderedDict"
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"torch.FloatStorage"
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"torch._utils._rebuild_tensor_v2"
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preprocessor_config.json
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pytorch_model.bin
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rng_state.pth
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"_codecs.encode"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"torch._utils._rebuild_tensor_v2"
,
"torch.ByteStorage"
,
"collections.OrderedDict"
,
"numpy.dtype"
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scaler.pt
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scheduler.pt
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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
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Detected Pickle imports (6)
"torch.device"
,
"transformers.trainer_utils.IntervalStrategy"
,
"transformers.trainer_utils.HubStrategy"
,
"transformers.training_args.OptimizerNames"
,
"transformers.trainer_utils.SchedulerType"
,
"transformers.training_args.TrainingArguments"
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vocab.txt
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