deependujha commited on
Commit
978923c
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1 Parent(s): abdae83

update with gibberish code

Browse files
Files changed (10) hide show
  1. .python-version +1 -0
  2. README.md +0 -0
  3. main.py +23 -0
  4. meow.py +12 -0
  5. model.bin +3 -0
  6. model.safetensors +3 -0
  7. pyproject.toml +18 -0
  8. src/learning_hf/__init__.py +2 -0
  9. src/learning_hf/py.typed +0 -0
  10. uv.lock +517 -0
.python-version ADDED
@@ -0,0 +1 @@
 
 
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+ 3.12
README.md ADDED
File without changes
main.py ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ import torch
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+ from torch import nn
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+ from safetensors.torch import load_model, save_model
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+
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+
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+ class Model(nn.Module):
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+ def __init__(self):
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+ super().__init__()
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+ self.a = nn.Linear(100, 100)
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+ self.b = self.a
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+
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+ def forward(self, x):
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+ return self.b(self.a(x))
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+
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+
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+ model = Model()
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+ print(model.state_dict())
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+ # odict_keys(['a.weight', 'a.bias', 'b.weight', 'b.bias'])
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+ torch.save(model.state_dict(), "model.bin")
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+ # This file is now 41k instead of ~80k, because A and B are the same weight hence only 1 is saved on disk with both `a` and `b` pointing to the same buffer
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+
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+ save_model(model, "model.safetensors")
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+
meow.py ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ import torch
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+ from torch import nn
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+ from safetensors.torch import load_model, save_model
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+
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+
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+ a = torch.zeros((100, 100))
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+ b = a[:1, :]
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+ # torch.save({"b": b}, "model.bin")
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+ # File is 41k instead of the expected 400 bytes
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+ # In practice it could happen that you save several 10GB instead of 1GB.
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+ save_model({"b":b}, "model.safetensors")
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+
model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:aa7befd00a1c92033f306debebcc6b3997d9632044a3a1ca45ab89fcde38cbf6
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+ size 41499
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+ oid sha256:29fcf3910c7c0ef11592ccff6fbd58b89e702cd7de276a3af90f567b518000d0
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+ size 40600
pyproject.toml ADDED
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+ [project]
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+ name = "learning-hf"
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+ version = "0.1.0"
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+ description = "Add your description here"
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+ readme = "README.md"
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+ authors = [
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+ { name = "deependujha", email = "deependujha21@gmail.com" }
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+ ]
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+ requires-python = ">=3.12"
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+ dependencies = [
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+ "numpy>=2.5.1",
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+ "safetensors>=0.8.0",
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+ "torch>=2.13.0",
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+ ]
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+
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+ [build-system]
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+ requires = ["uv_build>=0.10.8,<0.11.0"]
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+ build-backend = "uv_build"
src/learning_hf/__init__.py ADDED
@@ -0,0 +1,2 @@
 
 
 
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+ def hello() -> str:
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+ return "Hello from learning-hf!"
src/learning_hf/py.typed ADDED
File without changes
uv.lock ADDED
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