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#255 used download transformers model from te #282

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Merged
merged 4 commits into from
Oct 10, 2025
Merged

#255 used download transformers model from te #282

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7e241a4
#255: Used download_transformers_model() from TE
ckunki Oct 10, 2025
d947b30
Updated changelog
ckunki Oct 10, 2025
8420208
project:fix
ckunki Oct 10, 2025
160cb0e
poetry lock
ckunki Oct 10, 2025
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1 change: 1 addition & 0 deletions doc/changes/unreleased.md
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Original file line number Diff line number Diff line change
Expand Up @@ -26,3 +26,4 @@ Additionally the release includes a CLI for populating the Secure Configuration
* #260: Added unit tests for CLI param wrappers
* #265: Fixed type hints in tests
* #251: Re-enabled SaaS integration tests
* #255: Used `download_transformers_model()` from TE
2 changes: 1 addition & 1 deletion exasol/nb_connector/cli/processing/bucketfs_access.py
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Expand Up @@ -14,7 +14,7 @@ def random_string(length: int = 10) -> str:
return "".join(random.choice(string.ascii_uppercase) for _ in range(length))


def random_file_name(other_than: list[str]) -> bfs.path.PathLike:
def random_file_name(other_than: list[str]) -> str:
result = None
while result is None or result in other_than:
infix = random_string()
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15 changes: 10 additions & 5 deletions exasol/nb_connector/model_installation.py
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Expand Up @@ -3,7 +3,10 @@
from typing import Any

from exasol.ai.text.extractors.bucketfs_model_repository import BucketFSRepository
from exasol.ai.text.impl.utils.transformers_utils import download_transformers_model
from exasol_transformers_extension.utils.bucketfs_model_specification import (
BucketFSModelSpecification,
)
from exasol_transformers_extension.utils.model_utils import install_huggingface_model
from yaspin import yaspin

from exasol.nb_connector.ai_lab_config import AILabConfig as CKey
Expand Down Expand Up @@ -52,11 +55,13 @@ def install_model(conf: Secrets, model: TransformerModel) -> None:
with yaspin(text=f"- Huggingface model {model.name}") as spinner:
if not _interactive_usage():
spinner.hide()
download_transformers_model(
sub_dir = ensure_model_subdir_config_value(conf)
model_spec = BucketFSModelSpecification(
model.name, model.task_type, "", sub_dir
)
install_huggingface_model(
bucketfs_location=bucketfs_location,
sub_dir=ensure_model_subdir_config_value(conf),
task_type=model.task_type,
model_name=model.name,
model_spec=model_spec,
model_factory=model.factory,
)
spinner.ok(CHECKMARK)
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