Upload ConditionalUNet
Browse files- config.json +1 -1
- model.safetensors +1 -1
- modeling_conditional_unet.py +1 -1
config.json
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],
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"auto_map": {
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"AutoConfig": "configuration_conditional_unet.ConditionalUNetConfig",
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"
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},
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"encoder_rep": "evanrsl/resnet-Alzheimer",
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"id2label": {
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],
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"auto_map": {
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"AutoConfig": "configuration_conditional_unet.ConditionalUNetConfig",
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"AutoModel": "modeling_conditional_unet.ConditionalUNet"
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},
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"encoder_rep": "evanrsl/resnet-Alzheimer",
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"id2label": {
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 293858844
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c7dea77ac0ce10c63629d1dd050df3f875264af904fa8d8d84baa3bbb999161
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size 293858844
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modeling_conditional_unet.py
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import torch
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import torch.nn as nn
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from transformers import PreTrainedModel, ResNetBackbone
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from configuration_conditional_unet import ConditionalUNetConfig
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class UpSampleBlock(nn.Module):
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def __init__(self, in_channels, skip_channels, out_channels, condition_size):
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import torch
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import torch.nn as nn
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from transformers import PreTrainedModel, ResNetBackbone
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from .configuration_conditional_unet import ConditionalUNetConfig
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class UpSampleBlock(nn.Module):
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def __init__(self, in_channels, skip_channels, out_channels, condition_size):
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