Create README.md
added documentation for our fine-tuned BERT model
# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/3568?src=pr&el=h1) Report
> Merging [#3568](https://codecov.io/gh/huggingface/transformers/pull/3568?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/b38d552a92a0a201c005afae0e1b861ae6de9ce0&el=desc) will **increase** coverage by `0.96%`.
> The diff coverage is `n/a`.

[![Impacted file tree graph](https://codecov.io/gh/huggingface/transformers/pull/3568/graphs/tree.svg?width=650&height=150&src=pr&token=9qOlN6Hb1c)](https://codecov.io/gh/huggingface/transformers/pull/3568?src=pr&el=tree)

```diff
@@            Coverage Diff             @@
##           master    #3568      +/-   ##
==========================================
+ Coverage   76.90%   77.87%   +0.96%     
==========================================
  Files         100      100              
  Lines       17127    17127              
==========================================
+ Hits        13172    13338     +166     
+ Misses       3955     3789     -166     
```


| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/3568?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [src/transformers/modeling\_openai.py](https://codecov.io/gh/huggingface/transformers/pull/3568/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19vcGVuYWkucHk=) | `81.54% <0.00%> (+1.34%)` | :arrow_up: |
| [src/transformers/modeling\_xlnet.py](https://codecov.io/gh/huggingface/transformers/pull/3568/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ194bG5ldC5weQ==) | `75.77% <0.00%> (+2.29%)` | :arrow_up: |
| [src/transformers/modeling\_ctrl.py](https://codecov.io/gh/huggingface/transformers/pull/3568/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19jdHJsLnB5) | `98.24% <0.00%> (+2.63%)` | :arrow_up: |
| [src/transformers/modeling\_roberta.py](https://codecov.io/gh/huggingface/transformers/pull/3568/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19yb2JlcnRhLnB5) | `95.71% <0.00%> (+10.00%)` | :arrow_up: |
| [src/transformers/modeling\_tf\_pytorch\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/3568/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9weXRvcmNoX3V0aWxzLnB5) | `89.93% <0.00%> (+81.20%)` | :arrow_up: |

------

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> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/3568?src=pr&el=footer). Last update [b38d552...2298b3b](https://codecov.io/gh/huggingface/transformers/pull/3568?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).
<|||||>Can you please add a 

```
---
language: german
---
```
metadata block at the top of the file? 

Also, cc'ing @severinsimmler who might be interested in this (if you guys don't know each other already)<|||||>Hey! I added the metablock.

One question: We uploaded our models as described in the huggingface documentation and everything looks okay, but when we try to test them with the suggested code, we get a message that the model is not found (OS Error: Model name was not found in tokenizers model name list). Could you please check if we made some error?

this is the test code we used:

> tokenizer = AutoTokenizer.from_pretrained("redewiedergabe/bert-base-historical-german-rw-cased")
 <|||||>Hi @redewiedergabe,

I can't reproduce your error on `transformers` 2.7.0, Python 3.7.6 and macOS 10.15.4. Does loading the model with `AutoModel` work?<|||||>works for me too<|||||>Thanks! [Model page](https://huggingface.co/redewiedergabe/bert-base-historical-german-rw-cased)