Can not push model to hub with push_to_hub=True?
HelloToday, I try code from  this documentation about question answering modelQuestion answeringWhen I executed the code withpush_to_hub=True, I got this errorRepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-65682648-0f6437ef1e8f448c2d462727;31099e2d-8d6a-43e7-8d76-dd21ca982590)

Repository Not Found for url: https://huggingface.co/api/models/my_awesome_qa_model.
Please make sure you specified the correct `repo_id` and `repo_type`.
If you are trying to access a private or gated repo, make sure you are authenticated.Here is my training argstraining_args = TrainingArguments(
    output_dir="./my_awesome_qa_model",
    overwrite_output_dir=True,
    evaluation_strategy="epoch",
    logging_strategy="epoch",
    save_strategy="epoch",
    save_total_limit=5,
    learning_rate=2e-5,
    per_device_train_batch_size=16,
    per_device_eval_batch_size=16,
    num_train_epochs=10,
    weight_decay=0.01,
    push_to_hub=True,
    report_to="wandb",
    load_best_model_at_end=True,
)Except for some args That I manually added, everything else is the exact same as in the doc.Why do I get this error?
2023-11-30T07:28:34Z
I never usedpush_to_hubbefore. But I think you don’t have a repository.Make a new one for model.스크린샷 2023-11-30 1626081048×783 41.3 KB
2023-11-30T07:44:10Z
Sadly, I have already done that but no luck. What is the method you normally do??
2023-11-30T07:48:18Z
I just save my model in my local server.when I use pytorch way,  use this one.torch.save(model.state_dict(), self.path)when I use huggingface api, justmodel.save_pretrained(self.path)push_to_hubargument is for sharing.
2023-11-30T07:53:50Z
Maybe this issue?Seems very similar.RepositoryNotFoundError: 404 Client ErrorBeginnersHi everyone, I am new to NLP and working with HuggingFace. I am working on a text summarization project and trying to fine tune the model. Below is the code I wrote but I am getting the error which I am not able to solve. Any leads would be appreciated. 
from huggingface_hub import notebook_login

notebook_login()

I passed here my huggingface token… 
from transformers import Seq2SeqTrainingArguments

batch_size = 8
num_train_epochs = 8
# Show the training loss with every epoch
logging_steps = l…
2023-12-06T01:55:57Z
Thanks for the information
2024-07-24T22:37:03Z
I think you should remove the “./” from the beginning of your output_dir, just make itoutput_dir="my_awesome_qa_model"I hope that helps