 You must login to the Hugging Face hub on this computer by typing `transformers-cli login` and entering your credentials to use `use_auth_token=True`. Alternatively, you can pass your own token as the `use_auth_token` argument in the translation notebook.
I'm trying to run the following but gives me this error. I made an account and login but am not sure about `transformers-cli login`. any help would be appreciated.
![image](https://user-images.githubusercontent.com/32965166/129429037-5909f09d-4bfd-4dd7-870e-eb07e32b34bf.png)


## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
     Don't forget to fill out the missing fields in that output! -->

- `transformers` version:
- Platform:
- Python version:
- PyTorch version (GPU?):
- Tensorflow version (GPU?):
- Using GPU in script?:
- Using distributed or parallel set-up in script?:

### Who can help
<!-- Your issue will be replied to more quickly if you can figure out the right person to tag with @
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 Please tag fewer than 3 people.

Models:

- albert, bert, xlm: @LysandreJik
- blenderbot, bart, marian, pegasus, encoderdecoder,  t5: @patrickvonplaten, @patil-suraj
- longformer, reformer, transfoxl, xlnet: @patrickvonplaten
- fsmt: @stas00
- funnel: @sgugger
- gpt2: @patrickvonplaten, @LysandreJik
- rag: @patrickvonplaten, @lhoestq
- tensorflow: @Rocketknight1

Library:

- benchmarks: @patrickvonplaten
- deepspeed: @stas00
- ray/raytune: @richardliaw, @amogkam
- text generation: @patrickvonplaten
- tokenizers: @LysandreJik
- trainer: @sgugger
- pipelines: @LysandreJik

Documentation: @sgugger

Model hub:

- for issues with a model report at https://discuss.huggingface.co/ and tag the model's creator.

HF projects:

- datasets: [different repo](https://github.com/huggingface/datasets)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Examples:

- maintained examples (not research project or legacy): @sgugger, @patil-suraj
- research_projects/bert-loses-patience: @JetRunner
- research_projects/distillation: @VictorSanh

 -->

## Information

Model I am using (Bert, XLNet ...):

The problem arises when using:
* [ ] the official example scripts: (give details below)
* [ ] my own modified scripts: (give details below)

The tasks I am working on is:
* [ ] an official GLUE/SQUaD task: (give the name)
* [ ] my own task or dataset: (give details below)

## To reproduce

Steps to reproduce the behavior:

1.
2.
3.

<!-- If you have code snippets, error messages, stack traces please provide them here as well.
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## Expected behavior

<!-- A clear and concise description of what you would expect to happen. -->

In order to be able to push to model to the hub after training, make sure to follow these steps:

Add the following arguments to `TrainingArguments`:
```
push_to_hub=True,
push_to_hub_model_id="name of your model" # optional, will default to the name of your output directory
push_to_hub_organization="name of the organization to which to upload the model" # optional
push_to_hub_token="your authentication token"
```

=> your authentication token can be obtained by typing `!huggingface-cli login` in Colab/in a terminal to get your authentication token stored in local cache. Actually, you don't need to pass the `push_to_hub_token` argument, as it will default to the token in the cache folder as stated in the [docs](https://huggingface.co/transformers/main_classes/trainer.html#trainingarguments).

Also, make sure git LFS is installed, as this is required to upload your model to the hub. In Colab, you can do this as follows:

```
!sudo apt-get install git-lfs
!git config --global user.email "your email address"
# Tip: using the same email than for your huggingface.co account will link your commits to your profile
!git config --global user.name "your username"
```<|||||>Thank you! 