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HF token in CLI for private and gated repos #1984

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HF token in CLI for private and gated repos #1984

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ce0c523
added hf token for private and gated repos
IlyasMoutawwakil Aug 7, 2024
272e3b1
fix
IlyasMoutawwakil Aug 7, 2024
b9cf420
add onnx cli test
IlyasMoutawwakil Aug 7, 2024
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7 changes: 7 additions & 0 deletions optimum/commands/export/onnx.py
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Original file line number Diff line number Diff line change
Expand Up @@ -132,6 +132,12 @@ def parse_args_onnx(parser):
action="store_true",
help="Allows to use custom code for the modeling hosted in the model repository. This option should only be set for repositories you trust and in which you have read the code, as it will execute on your local machine arbitrary code present in the model repository.",
)
optional_group.add_argument(
"--token",
type=str,
default=None,
help="Hugging Face API token to use for authentication.",
)
optional_group.add_argument(
"--pad_token_id",
type=int,
Expand Down Expand Up @@ -277,6 +283,7 @@ def run(self):
atol=self.args.atol,
cache_dir=self.args.cache_dir,
trust_remote_code=self.args.trust_remote_code,
token=self.args.token,
pad_token_id=self.args.pad_token_id,
for_ort=self.args.for_ort,
use_subprocess=True,
Expand Down
18 changes: 17 additions & 1 deletion tests/exporters/onnx/test_exporters_onnx_cli.py
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Original file line number Diff line number Diff line change
Expand Up @@ -33,7 +33,13 @@
ONNX_DECODER_WITH_PAST_NAME,
ONNX_ENCODER_NAME,
)
from optimum.utils.testing_utils import grid_parameters, require_diffusers, require_sentence_transformers, require_timm
from optimum.utils.testing_utils import (
grid_parameters,
require_diffusers,
require_hf_token,
require_sentence_transformers,
require_timm,
)


if is_torch_available():
Expand Down Expand Up @@ -730,3 +736,13 @@ def test_complex_synonyms(self):
model.save_pretrained(tmpdir_in)

main_export(model_name_or_path=tmpdir_in, output=tmpdir_out, task="text-classification")

@require_hf_token
def test_hf_token(self):
with TemporaryDirectory() as tmpdirname:
token = os.environ.get("HF_AUTH_TOKEN")
subprocess.run(
f"python3 -m optimum.exporters.onnx --model optimum-internal-testing/tiny-random-phi-private {tmpdirname} --token {token}",
shell=True,
check=True,
)
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