copper-light commited on
Commit
7d4d5d1
·
1 Parent(s): 55413d4
__pycache__/model.cpython-313.pyc CHANGED
Binary files a/__pycache__/model.cpython-313.pyc and b/__pycache__/model.cpython-313.pyc differ
 
config.json/config.json CHANGED
@@ -1,7 +1,4 @@
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  {
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- "auto_map": {
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- "AutoConfig": "model.TestConfig"
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- },
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  "input_dim": 4,
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  "model_type": "test-model",
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  "output_dim": 16,
 
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  {
 
 
 
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  "input_dim": 4,
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  "model_type": "test-model",
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  "output_dim": 16,
config.json/model.py ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ from transformers import PreTrainedModel, PretrainedConfig
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+ from torch import nn
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+
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+ class TestConfig(PretrainedConfig):
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+ model_type = "test-model"
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+
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+ def __init__(self, input_dim=4, output_dim=16, **kwargs):
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+ super().__init__(**kwargs)
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+ self.input_dim = input_dim
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+ self.output_dim = output_dim
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+
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+
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+ class TestModel(PreTrainedModel):
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+ config_class = TestConfig
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+
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+ def __init__(self, config):
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+ super().__init__(config)
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+ self.layer = nn.Linear(config.input_dim, config.output_dim)
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+
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+ def forward(self, input):
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+ return self.layer(input)
model.py CHANGED
@@ -5,9 +5,9 @@ class TestConfig(PretrainedConfig):
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  model_type = "test-model"
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  def __init__(self, input_dim=4, output_dim=16, **kwargs):
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- super().__init__(**kwargs)
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  self.input_dim = input_dim
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  self.output_dim = output_dim
 
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  class TestModel(PreTrainedModel):
 
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  model_type = "test-model"
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  def __init__(self, input_dim=4, output_dim=16, **kwargs):
 
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  self.input_dim = input_dim
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  self.output_dim = output_dim
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+ super().__init__(**kwargs)
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  class TestModel(PreTrainedModel):
pytorch_model.bin/model.py ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ from transformers import PreTrainedModel, PretrainedConfig
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+ from torch import nn
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+
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+ class TestConfig(PretrainedConfig):
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+ model_type = "test-model"
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+
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+ def __init__(self, input_dim=4, output_dim=16, **kwargs):
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+ super().__init__(**kwargs)
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+ self.input_dim = input_dim
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+ self.output_dim = output_dim
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+
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+
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+ class TestModel(PreTrainedModel):
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+ config_class = TestConfig
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+
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+ def __init__(self, config):
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+ super().__init__(config)
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+ self.layer = nn.Linear(config.input_dim, config.output_dim)
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+
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+ def forward(self, input):
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+ return self.layer(input)
pytorch_model.bin/model.safetensors CHANGED
@@ -1,3 +1,3 @@
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- oid sha256:456fdf360a6885691c2e9a7da8262857e3d415c36f57abf4224941b954ec7580
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  size 496
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:d70ce77882860863fe8be43f83938f725ebc05732db7d9e06363d74f3dcd4caa
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  size 496