Where to put use_auth_token in the code if you can't run hugginface-cli login command?
I am training a bart_large_cnn model for summarization, where I have used : -training_args = Seq2SeqTrainingArguments(
    output_dir="results",
    num_train_epochs=1,  # demo
    do_train=True,
    do_eval=True,
    per_device_train_batch_size=4,  # demo
    per_device_eval_batch_size=4,
    # learning_rate=3e-05,
    warmup_steps=500,
    weight_decay=0.1,
    label_smoothing_factor=0.1,
    predict_with_generate=True,
    logging_dir="logs",
    logging_steps=50,
    save_total_limit=3,
    push_to_hub=True,
)but when I try to compile :-trainer = Seq2SeqTrainer(
    model=model,
    args=training_args,
    data_collator=data_collator,
    train_dataset=train_data,
    eval_dataset=validation_data,
    tokenizer=tokenizer,
    compute_metrics=compute_metrics
)it gives an error :-HTTPError: Invalid user token. If you didn't pass a user token, make sure you are properly logged in by executinghuggingface-cli login, and if you did pass a user token, double-check it's correct.Now, in the user documentation, its written that either pass the token as :-!huggingface-cli loginoruse_auth_token='token_value'I tried putting this token value as below :-the first command (cli-login) doesn’t run (takes forever). so I used the second option as below; -model = AutoModelForSeq2SeqLM.from_pretrained(model_name,use_auth_token='token_value')

tokenizer = AutoTokenizer.from_pretrained(model_name,use_auth_token = 'token_value')but the same error keeps popping up.Where else can I put this token value to push my model to the hub?
2021-11-15T05:35:37Z
I added the following parameter (hub_token) in the training_args as below :-training_args = Seq2SeqTrainingArguments(
    output_dir="results",
    num_train_epochs=1,  # demo
    do_train=True,
    do_eval=True,
    per_device_train_batch_size=4,  # demo
    per_device_eval_batch_size=4,
    # learning_rate=3e-05,
    warmup_steps=500,
    weight_decay=0.1,
    label_smoothing_factor=0.1,
    predict_with_generate=True,
    logging_dir="logs",
    logging_steps=50,
    save_total_limit=3,
    push_to_hub=True,
    hub_token = 'token value'
)but when I try to compile :-trainer = Seq2SeqTrainer(
    model=model,
    args=training_args,
    data_collator=data_collator,
    train_dataset=train_data,
    eval_dataset=validation_data,
    tokenizer=tokenizer,
    compute_metrics=compute_metrics
)FileNotFoundError: [WinError 2] The system cannot find the file specified
During handling of the above exception, another exception occurred:
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python39\lib\site-packages\huggingface_hub\repository.py", line 489, in check_git_versions
    raise EnvironmentError(
OSError: Looks like you do not have git-lfs installed, please install. You can install from https://git-lfs.github.com/. Then run `git lfs install` (you only have to do this once).I did then try installing git-lfspip install git-lfs
Requirement already satisfied: git-lfs in c:\users\abhay.saini\appdata\local\programs\python\python39\lib\site-packages (1.6)but the error persists…Can anyone help?
2021-11-15T12:53:20Z
You need to do thegit lfs installcommand for your last problem. As you found out, thehub_tokenargument is the right way to pass along your token!
2022-01-03T21:16:20Z
getting same error, did you manage to solve this?
2022-09-16T16:48:26Z
accept thishuggingface.coCompVis/stable-diffusion-v1-4 · Hugging FaceWe’re on a journey to advance and democratize artificial intelligence through open source and open science.
2023-05-16T07:49:42Z
I am getting the same error even after using pip install git-lfs. Anyone managed to find a solution?