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Update app.py
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app.py
CHANGED
@@ -22,10 +22,10 @@ has_gpu = torch.cuda.is_available()
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# Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you must use the 'spawn' start method
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# Let's use the CLI instead.
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#
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import mergekit.merge
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from mergekit.common import parse_kmb
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from mergekit.options import MergeOptions
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print(dir(MergeOptions))
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# merge_options = (
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# MergeOptions(
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# copy_tokenizer=True,
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# Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you must use the 'spawn' start method
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# Let's use the CLI instead.
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#
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#import mergekit.merge
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#from mergekit.common import parse_kmb
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#from mergekit.options import MergeOptions
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#print(dir(MergeOptions))
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# merge_options = (
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# MergeOptions(
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# copy_tokenizer=True,
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