Model sharing doc (#8498)

* Model sharing doc

* Style

docs/source/model_doc/marian.rst

@@ -139,11 +139,19 @@ Example of translating english to many romance languages, using old-style 2 char
 .. code-block::python
 
     from transformers import MarianMTModel, MarianTokenizer
-     src_text = [ '>>fr<< this is a sentence in english that we want to translate to french', '>>pt<< This should go to portuguese', '>>es<< And this to Spanish']
+    src_text = [
+        '>>fr<< this is a sentence in english that we want to translate to french',
+        '>>pt<< This should go to portuguese',
+        '>>es<< And this to Spanish'
+    ]
 
-    model_name = 'Helsinki-NLP/opus-mt-en-ROMANCE' tokenizer = MarianTokenizer.from_pretrained(model_name)
-    print(tokenizer.supported_language_codes) model = MarianMTModel.from_pretrained(model_name) translated =
-    model.generate(**tokenizer.prepare_seq2seq_batch(src_text)) tgt_text = [tokenizer.decode(t, skip_special_tokens=True) for t in translated]
+    model_name = 'Helsinki-NLP/opus-mt-en-ROMANCE'
+    tokenizer = MarianTokenizer.from_pretrained(model_name)
+    print(tokenizer.supported_language_codes)
+
+    model = MarianMTModel.from_pretrained(model_name)
+    translated = model.generate(**tokenizer.prepare_seq2seq_batch(src_text))
+    tgt_text = [tokenizer.decode(t, skip_special_tokens=True) for t in translated]
     # ["c'est une phrase en anglais que nous voulons traduire en français", 'Isto deve ir para o português.',  'Y esto al español']
 
 

docs/source/model_sharing.rst

@@ -52,21 +52,21 @@ users to clone it and you (and your organization members) to push to it. First,
 Go in a terminal and run the following command. It should be in the virtual environment where you installed 🤗
 Transformers, since that command :obj:`transformers-cli` comes from the library.
 
-.. code-block::
+.. code-block:: bash
 
     transformers-cli login
 
 
 Once you are logged in with your model hub credentials, you can start building your repositories. To create a repo:
 
-.. code-block::
+.. code-block:: bash
 
     transformers-cli repo create your-model-name
 
 This creates a repo on the model hub, which can be cloned. You can then add/remove from that repo as you would with any
 other git repo.
 
-.. code-block::
+.. code-block:: bash
 
     git clone https://huggingface.co/username/your-model-name
 
@@ -159,24 +159,25 @@ Or, if you're using the Trainer API
 .. code-block::
 
     >>> trainer.save_model("path/to/awesome-name-you-picked")
+    >>> tokenizer.save_pretrained("path/to/repo/clone/your-model-name")
 
 You can then add these files to the staging environment and verify that they have been correctly staged with the ``git
 status`` command:
 
-.. code-block::
+.. code-block:: bash
 
     git add --all
     git status
 
 Finally, the files should be comitted:
 
-.. code-block::
+.. code-block:: bash
 
     git commit -m "First version of the your-model-name model and tokenizer."
 
 And pushed to the remote:
 
-.. code-block::
+.. code-block:: bash
 
     git push
 
@@ -199,7 +200,7 @@ don't forget to link to its model card so that people can fully trace how your m
 If you have never made a pull request to the 🤗 Transformers repo, look at the :doc:`contributing guide <contributing>`
 to see the steps to follow.
 
-.. Note::
+.. note::
 
     You can also send your model card in the folder you uploaded with the CLI by placing it in a `README.md` file
     inside `path/to/awesome-name-you-picked/`.
@@ -225,3 +226,41 @@ You may specify a revision by using the ``revision`` flag in the ``from_pretrain
     >>>   "julien-c/EsperBERTo-small",
     >>>   revision="v2.0.1" # tag name, or branch name, or commit hash
     >>> )
+
+Workflow in a Colab notebook
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+If you're in a Colab notebook (or similar) with no direct access to a terminal, here is the workflow you can use to
+upload your model. You can execute each one of them in a cell by adding a ! at the beginning.
+
+First you need to install `git-lfs` in the environment used by the notebook:
+
+.. code-block:: bash
+
+    sudo apt-get install git-lfs
+
+Then you can use the :obj:`transformers-cli` to create your new repo:
+
+
+.. code-block:: bash
+
+    transformers-cli login
+    transformers-cli repo create your-model-name
+
+Once it's created, you can clone it and configure it (replace username by your username on huggingface.co):
+
+.. code-block:: bash
+
+    git clone https://huggingface.co/username/your-model-name
+    cd your-model-name
+    git lfs install
+    git config --global user.email "email@example.com"
+
+Once you've saved your model inside, you can add it and push it with usual git commands. Note that you have to replace
+`username:password` with your username and password to huggingface.co.
+
+.. code-block:: bash
+
+    git add .
+    git commit -m "Initial commit"
+    git push https://username:password@huggingface.co/username/your-model-name