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This PR directly load GPTBigCode to specified device, avoiding moving model between devices. # What does this PR do? This PR directly load GPTBigCode to specified device, avoiding moving model between devices. ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests), Pull Request section? - [ ] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? Please add a link to it if that's the case. - [ ] Did you make sure to update the documentation with your changes? Here are the [documentation guidelines](https://github.com/huggingface/transformers/tree/main/docs), and [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation). - [ ] Did you write any new necessary tests? ## Who can review? Anyone in the community is free to review the PR once the tests have passed. Feel free to tag members/contributors who may be interested in your PR. @OlivierDehaene OR @Narsil |
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.. | ||
custom_modeling | ||
__init__.py | ||
bloom.py | ||
causal_lm.py | ||
flash_causal_lm.py | ||
flash_llama.py | ||
flash_neox.py | ||
flash_rw.py | ||
flash_santacoder.py | ||
galactica.py | ||
gpt_neox.py | ||
model.py | ||
mpt.py | ||
opt.py | ||
rw.py | ||
santacoder.py | ||
seq2seq_lm.py | ||
t5.py | ||
types.py |