Create README.md (Model card for Norod78/hewiki-articles-distilGPT2py-il)
Model card for Norod78/hewiki-articles-distilGPT2py-il
A tiny GPT2 model for generating Hebrew text
# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5735?src=pr&el=h1) Report
> Merging [#5735](https://codecov.io/gh/huggingface/transformers/pull/5735?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/cd30f98fd24837f285cfc221b91cfa66b1b38c32&el=desc) will **increase** coverage by `0.48%`.
> The diff coverage is `n/a`.

[![Impacted file tree graph](https://codecov.io/gh/huggingface/transformers/pull/5735/graphs/tree.svg?width=650&height=150&src=pr&token=9qOlN6Hb1c)](https://codecov.io/gh/huggingface/transformers/pull/5735?src=pr&el=tree)

```diff
@@            Coverage Diff             @@
##           master    #5735      +/-   ##
==========================================
+ Coverage   78.02%   78.51%   +0.48%     
==========================================
  Files         146      146              
  Lines       26055    26055              
==========================================
+ Hits        20329    20456     +127     
+ Misses       5726     5599     -127     
```


| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/5735?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [src/transformers/modeling\_tf\_roberta.py](https://codecov.io/gh/huggingface/transformers/pull/5735/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9yb2JlcnRhLnB5) | `43.98% <0.00%> (-49.38%)` | :arrow_down: |
| [src/transformers/modeling\_tf\_gpt2.py](https://codecov.io/gh/huggingface/transformers/pull/5735/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9ncHQyLnB5) | `63.55% <0.00%> (-31.78%)` | :arrow_down: |
| [src/transformers/generation\_tf\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/5735/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9nZW5lcmF0aW9uX3RmX3V0aWxzLnB5) | `79.94% <0.00%> (-6.27%)` | :arrow_down: |
| [src/transformers/generation\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/5735/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9nZW5lcmF0aW9uX3V0aWxzLnB5) | `97.11% <0.00%> (+0.28%)` | :arrow_up: |
| [src/transformers/modeling\_openai.py](https://codecov.io/gh/huggingface/transformers/pull/5735/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19vcGVuYWkucHk=) | `82.31% <0.00%> (+1.28%)` | :arrow_up: |
| [src/transformers/tokenization\_xlm\_roberta.py](https://codecov.io/gh/huggingface/transformers/pull/5735/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25feGxtX3JvYmVydGEucHk=) | `95.23% <0.00%> (+10.71%)` | :arrow_up: |
| [src/transformers/modeling\_tf\_distilbert.py](https://codecov.io/gh/huggingface/transformers/pull/5735/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9kaXN0aWxiZXJ0LnB5) | `98.79% <0.00%> (+33.89%)` | :arrow_up: |
| [src/transformers/modeling\_tf\_openai.py](https://codecov.io/gh/huggingface/transformers/pull/5735/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9vcGVuYWkucHk=) | `95.18% <0.00%> (+74.91%)` | :arrow_up: |

------

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> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5735?src=pr&el=footer). Last update [cd30f98...148adfb](https://codecov.io/gh/huggingface/transformers/pull/5735?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).
<|||||>Hi @Norod, this is our first model for Hebrew, that's awesome – thanks for sharing.

Do you think you'd be up for adding default example inputs to all models for Hebrew? If you are, just open a PR against [this file](https://github.com/huggingface/widgets-server/blob/master/DefaultWidget.ts).<|||||>(also cc'ing @JetRunner)<|||||>Hello @julien-c 
Thank you for having such awesome models and community. 
While my contribution is the first GPT2 model in Hebrew, there are several ones which were contributed by "Helsinki-NLP" for translating to Hebrew and from Hebrew. For example: https://huggingface.co/Helsinki-NLP/opus-mt-he-de?text=%D7%A9%D7%9C%D7%95%D7%9D  
There is also one BERT model contributed by "TurkuNLP" [TurkuNLP/wikibert-base-he-cased](https://huggingface.co/TurkuNLP/wikibert-base-he-cased) that can generate masked predictions. 

Thank you for pointing out the 'default example inputs' file, I will have a look.<|||||>@Norod Good point! We now have a clearer webpage that lists (mono-lingual) models by language: see e.g. this link for Hebrew https://huggingface.co/languages#he