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chenpangpang
transformers
Commits
ffd37103
"examples/git@developer.sourcefind.cn:OpenDAS/EasyR1.git" did not exist on "ac9d2b050e30332e454ae63e3d0a12596b1b5d4a"
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ffd37103
authored
Jan 10, 2024
by
prasatee
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GitHub
Jan 10, 2024
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Fix number of models in README.md (#28430)
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6015d0ad
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ffd37103
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@@ -228,7 +228,7 @@ The model itself is a regular [Pytorch `nn.Module`](https://pytorch.org/docs/sta
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@@ -228,7 +228,7 @@ The model itself is a regular [Pytorch `nn.Module`](https://pytorch.org/docs/sta
1.
Lower compute costs, smaller carbon footprint:
1.
Lower compute costs, smaller carbon footprint:
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Researchers can share trained models instead of always retraining.
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Researchers can share trained models instead of always retraining.
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Practitioners can reduce compute time and production costs.
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Practitioners can reduce compute time and production costs.
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Dozens of architectures with over
6
0,000 pretrained models across all modalities.
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Dozens of architectures with over
40
0,000 pretrained models across all modalities.
1.
Choose the right framework for every part of a model's lifetime:
1.
Choose the right framework for every part of a model's lifetime:
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Train state-of-the-art models in 3 lines of code.
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Train state-of-the-art models in 3 lines of code.
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