Update camembert-base-README.md 
# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/3836?src=pr&el=h1) Report
> Merging [#3836](https://codecov.io/gh/huggingface/transformers/pull/3836?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/f0c96fafd16d206b22a74fe76b251414f7314703&el=desc) will **increase** coverage by `0.01%`.
> The diff coverage is `n/a`.

[![Impacted file tree graph](https://codecov.io/gh/huggingface/transformers/pull/3836/graphs/tree.svg?width=650&height=150&src=pr&token=9qOlN6Hb1c)](https://codecov.io/gh/huggingface/transformers/pull/3836?src=pr&el=tree)

```diff
@@            Coverage Diff             @@
##           master    #3836      +/-   ##
==========================================
+ Coverage   78.47%   78.48%   +0.01%     
==========================================
  Files         106      106              
  Lines       17930    17930              
==========================================
+ Hits        14071    14073       +2     
+ Misses       3859     3857       -2     
```


| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/3836?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [src/transformers/modeling\_tf\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/3836/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl91dGlscy5weQ==) | `92.92% <0.00%> (+0.32%)` | :arrow_up: |

------

[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/3836?src=pr&el=continue).
> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)
> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`
> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/3836?src=pr&el=footer). Last update [f0c96fa...2142ca8](https://codecov.io/gh/huggingface/transformers/pull/3836?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).
<|||||>Markdown for the table was broken so I fixed it in 60a42ef1c04591e0709429276ccbc02608b7d47d

Thank you @benjamin-mlr !<|||||>Thank you Julien !

On Sat, Apr 18, 2020 at 8:22 AM Julien Chaumond <notifications@github.com>
wrote:

> Markdown for the table was broken so I fixed it in 60a42ef
> <https://github.com/huggingface/transformers/commit/60a42ef1c04591e0709429276ccbc02608b7d47d>
>
> Thank you @benjamin-mlr <https://github.com/benjamin-mlr> !
>
> —
> You are receiving this because you were mentioned.
> Reply to this email directly, view it on GitHub
> <https://github.com/huggingface/transformers/pull/3836#issuecomment-615519941>,
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> .
>


-- 
Benjamin Muller
*Ms in Data Science, specialised in Deep Learning applied to NLP*
*www.linkedin.com/in/ <http://www.linkedin.com/in/>benjamin-muller-19796191*
<|||||>Hi @julien-c , 

A quick question regarding Pipeline and the new camembert checkpoints. 

The pipeline "fill-mask" is not currently working for the new camembert checkpoints 
e.g : camembert_fill_mask  = pipeline("fill-mask",model="camembert/camembert-base-ccnet-4gb",tokenizer="camembert-base")
Error : "Model name 'camembert/camembert-base-ccnet-4gb' was not found in model name list..."

Should we do something to make it work ? 
 
Thanks ! <|||||>@benjamin-mlr Works successfully for me. What's your version of transformers?<|||||>Hi Julien,

I got confused by the warning and the "not that accurate prediction" on the
masked sentence I tried out. It works, I can confirm now.

Thanks,
Benjamin


On Tue, Apr 21, 2020 at 9:28 AM Julien Chaumond <notifications@github.com>
wrote:

> @benjamin-mlr <https://github.com/benjamin-mlr> Works successfully for
> me. What's your version of transformers?
>
> —
> You are receiving this because you were mentioned.
> Reply to this email directly, view it on GitHub
> <https://github.com/huggingface/transformers/pull/3836#issuecomment-616895868>,
> or unsubscribe
> <https://github.com/notifications/unsubscribe-auth/AEHOJY2K4DP2WI4XUM2QQKLRNTZDDANCNFSM4MKMNEYQ>
> .
>


-- 
Benjamin Muller
*Ms in Data Science, specialised in Deep Learning applied to NLP*
*www.linkedin.com/in/ <http://www.linkedin.com/in/>benjamin-muller-19796191*
<|||||>Yes I indeed noticed that that model was outputting weird predictions.