HerbertTokenizer doesn't work on version 3.5.1
## Environment info
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- `transformers` version: 3.5.1
- Platform: MacOS X, Linux
- Python version: 3.7
- PyTorch version (GPU?): 1.6.0

### Who can help
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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: @LysandreJik

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:

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

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## Information

Model I am using (Bert, XLNet ...): allegro/herbert-base-cased

I tried to use official script on model hub page with transformers version 3.5.1. Week ago it worked just fine, but now I am getting error listed below.
@rmroczkowski maybe you have some information on this topic, I saw some new commits on model hub, but they shouldn't change anything
 
For latest version it works fine with AutoTokenizers (EDIT: only version 4.4 works, I tasted version 3.5.1, 4.0.0, 4.3 and got same error)

The problem arises when using:
* [x] the official example scripts: (give details below)
* [ ] my own modified scripts: (give details below)
I tried importing AutoTokenizers and HerbertTokenizer, but got the same error 
`OSError: Can't load tokenizer for 'allegro/herbert-base-cased'. Make sure that:

- 'allegro/herbert-base-cased' is a correct model identifier listed on 'https://huggingface.co/models'

- or 'allegro/herbert-base-cased' is the correct path to a directory containing relevant tokenizer files`

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. install transformers 3.5.1
2. try to use official script from https://huggingface.co/allegro/herbert-base-case

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## Expected behavior

tokenizer loads and works 

I guess this is related to URL issue #10744 ? and one should change model URL<|||||>I resolved this by updating URL's to models, this is my current code:
```PRETRAINED_VOCAB_FILES_MAP = {
    "vocab_file": {"allegro/herbert-base-cased": "https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json"},
    "merges_file": {"allegro/herbert-base-cased": "https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt"},
}``` 
Is there a way to fix this to maintain backward compatibility? @LysandreJik<|||||>Cross-posting the Forum thread: https://discuss.huggingface.co/t/delete-organizations-models-from-the-hub/954/40