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feat: support loading models from hf #751
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guenthermi
requested review from
gmastrapas,
bwanglzu and
LMMilliken
and removed request for
gmastrapas and
bwanglzu
LMMilliken
suggested changes
Jun 7, 2023
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| def test_download_hf_model(model): | ||
| path = download_huggingface_model(model) | ||
| assert os.path.isdir(path) |
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could we also check that we can successfully build the model from the contents of this path?
bwanglzu
reviewed
Jun 7, 2023
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| HF_URL_PREFIX = 'https://huggingface.co/jinaai/' | ||
| HF_ORG_PREFIX = 'jinaai/' |
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when we have the push function, let's remove the org restriction
gmastrapas
reviewed
Jun 7, 2023
finetuner/__init__.py
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| @@ -517,6 +519,29 @@ def build_model( | |||
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| def download_huggingface_model(model_name: str, token: Optional[str] = None) -> str: | |||
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is this meant to be public? if not, use an _ in front of the name
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I was not sure, maybe private is better
| :param token: Optional token to access private models. | ||
| :return: The local path to the downloaded model. | ||
| """ | ||
| from huggingface_hub import hf_hub_download, list_repo_files |
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we have transformers already as a dependency which depends on it. Should we add it anyway?
Co-authored-by: George Mastrapas <32414777+gmastrapas@users.noreply.github.com>
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feat: support loading models from hf
This PR allows one to load models from https://huggingface.co/jinaai: