Widget can't load model
Author: borisdayma
Pull request: no
Labels: name: wontfix

## 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: 3.0.2
- Platform: Linux-5.4.0-42-generic-x86_64-with-glibc2.27
- Python version: 3.8.2
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No

### Who can help
<!-- Your issue will be replied to more quickly if you can figure out the right person to tag with @
 If you know how to use git blame, that is the easiest way, otherwise, here is a rough guide of **who to tag**.
 Please tag fewer than 3 people.
 
 albert, bert, GPT2, XLM: @LysandreJik 
 tokenizers: @mfuntowicz
 Trainer: @sgugger
 Speed and Memory Benchmarks: @patrickvonplaten
 Model Cards: @julien-c
 Translation: @sshleifer
 Summarization: @sshleifer
 TextGeneration: @TevenLeScao 
 examples/distillation: @VictorSanh
 nlp datasets: [different repo](https://github.com/huggingface/nlp)
 rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)
 Text Generation: @TevenLeScao
 blenderbot: @mariamabarham
 Bart: @sshleifer
 Marian: @sshleifer
 T5: @patrickvonplaten
 Longformer/Reformer: @patrickvonplaten
 TransfoXL/XLNet: @TevenLeScao 
 examples/seq2seq: @sshleifer
 examples/bert-loses-patience: @JetRunner
 tensorflow: @jplu 
 documentation: @sgugger
 -->
@julien-c @mfuntowicz  (not sure I tagged correctly because related to inference widget, not listed category)

## Information

Model I am using (Bert, XLNet ...): huggingtweets/borisdayma (GPT-2)

The problem arises when using:
* [X] 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)
* [X] my own task or dataset: (give details below)

## To reproduce

Steps to reproduce the behavior:

1. Try to do inference from [huggingtweets/borisdayma model page](https://huggingface.co/huggingtweets/borisdayma)

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Error displayed in interface:

> ⚠️ Can't load weights for 'huggingtweets/borisdayma'. Make sure that: - 'huggingtweets/borisdayma' is a correct model identifier listed on 'https://huggingface.co/models' - or 'huggingtweets/borisdayma' is the correct path to a directory containing a file named one of pytorch_model.bin, tf_model.h5, model.ckpt.

![image](https://user-images.githubusercontent.com/715491/90415619-f9cdd380-e076-11ea-879b-7dde7e1601cf.png)

## Expected behavior

<!-- A clear and concise description of what you would expect to happen. -->

This works locally:

```python
generator = pipeline('text-generation', model='huggingtweets/borisdayma')
generator("
I really like")
```

Comments:
@julien-c @mfuntowicz Any idea of what is going wrong?
I'm just wondering if it's anything from my side.

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