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Cleaning up some training requirements installation steps
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@ -1,6 +0,0 @@
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torchvision
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accelerate
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peft
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wandb
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omegaconf
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einops
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@ -9,7 +9,7 @@ The first step is to setup your python/conda environment, and set things up the
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Then, add in some extra training requirements:
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Then, add in some extra training requirements:
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```bash
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```bash
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pip install -r gantry-train-requirements.txt
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pip install .[train]
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pip install transformers==4.52.4
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pip install transformers==4.52.4
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pip install flash-attn==2.8.0.post2 --no-build-isolation
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pip install flash-attn==2.8.0.post2 --no-build-isolation
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```
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```
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@ -99,13 +99,10 @@ train = [
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"torch",
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"torch",
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"torchvision",
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"torchvision",
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"accelerate",
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"accelerate",
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"datasets",
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"peft",
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"peft",
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"wandb",
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"wandb",
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"omegaconf",
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"omegaconf",
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"s3fs",
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"einops"
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"necessary",
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"einops",
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"augraphy",
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"augraphy",
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]
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]
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@ -92,7 +92,7 @@ b = Beaker.from_env(default_workspace="ai2/olmocr")
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# Build the training command
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# Build the training command
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commands = [
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commands = [
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"pip install -r gantry-train-requirements.txt",
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"pip install .[train]",
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"pip install transformers==4.52.4",
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"pip install transformers==4.52.4",
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"pip install flash-attn==2.8.0.post2 --no-build-isolation",
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"pip install flash-attn==2.8.0.post2 --no-build-isolation",
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"pip install s5cmd",
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"pip install s5cmd",
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