Upload Resnet50FER
Browse files- config.json +6 -1
- model.py +1 -1
config.json
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@@ -1,7 +1,12 @@
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{
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"auto_map": {
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"AutoConfig": "config.Resnet50Config"
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},
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"num_classes": 6,
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"transformers_version": "4.37.2"
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}
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{
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"architectures": [
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"Resnet50FER"
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],
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"auto_map": {
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"AutoConfig": "config.Resnet50Config",
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"AutoModelForImageClassification": "model.Resnet50FER"
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},
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"num_classes": 6,
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"torch_dtype": "float32",
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"transformers_version": "4.37.2"
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}
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model.py
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@@ -5,7 +5,7 @@ from .config import Resnet50Config
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from transformers import PreTrainedModel
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class Resnet50FER(PreTrainedModel):
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def __init__(self, config):
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super().__init__(config)
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# Load the ResNet50 model without the final fully connected layer
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from transformers import PreTrainedModel
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class Resnet50FER(PreTrainedModel):
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config_class = Resnet50Config
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def __init__(self, config):
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super().__init__(config)
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# Load the ResNet50 model without the final fully connected layer
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