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Adapt repository creation to latest hf_hub (#21158)

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* Adapt repository creation to latest hf_hub

* Update all examples

* Fix other tests, add Flax examples

* Address review comments
This commit is contained in:
Sylvain Gugger
2023-01-18 17:14:00 +01:00
committed by GitHub
parent 32525428e1
commit 05e72aa0c4
30 changed files with 83 additions and 73 deletions
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5
examples/flax/vision/run_image_classification.py
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@@ -43,7 +43,7 @@ from flax import jax_utils
from flax.jax_utils import pad_shard_unpad, unreplicate
from flax.training import train_state
from flax.training.common_utils import get_metrics, onehot, shard, shard_prng_key
from huggingface_hub import Repository
from huggingface_hub import Repository, create_repo
from transformers import (
CONFIG_MAPPING,
FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
@@ -298,7 +298,8 @@ def main():
)
else:
repo_name = training_args.hub_model_id
repo = Repository(training_args.output_dir, clone_from=repo_name)
create_repo(repo_name, exist_ok=True, token=training_args.hub_token)
repo = Repository(training_args.output_dir, clone_from=repo_name, token=training_args.hub_token)
# Initialize datasets and pre-processing transforms
# We use torchvision here for faster pre-processing