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38 lines
790 B
38 lines
790 B
# Getting Started
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## Install
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The library can be installed with pip:
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```
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pip install timm
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```
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!!! info "Conda Environment"
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All development and testing has been done in Conda Python 3 environments
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on Linux x86-64 systems, specifically Python 3.6.x and 3.7.x.
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To install `timm` in a conda environment:
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```
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conda create -n torch-env
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conda activate torch-env
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conda install -c pytorch pytorch torchvision cudatoolkit=10.1
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conda install pyyaml
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pip install timm
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```
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## Load Pretrained Model
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Pretrained models can be loaded using `timm.create_model`
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```python
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import timm
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m = timm.create_model('mobilenetv3_100', pretrained=True)
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m.eval()
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```
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To load a different model see [the list of pretrained weights](/models
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/#pretrained-imagenet-weights). |