Directly load GPTBigCode to specified device (#618)
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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@ -51,14 +51,14 @@ class SantaCoder(CausalLM):
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"pad_token": EOD,
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}
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)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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revision=revision,
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torch_dtype=dtype,
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load_in_8bit=quantize == "bitsandbytes",
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trust_remote_code=trust_remote_code,
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).to(device)
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with device:
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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revision=revision,
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torch_dtype=dtype,
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load_in_8bit=quantize == "bitsandbytes",
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trust_remote_code=trust_remote_code,
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)
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super(CausalLM, self).__init__(
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model=model,
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