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# End-of-chapter quiz[[end-of-chapter-quiz]]
<CourseFloatingBanner
chapter={4}
classNames="absolute z-10 right-0 top-0"
/>
Let's test what you learned in this chapter!
### 1. What are models on the Hub limited to?
<Question
choices={[
{
text: "Models from the ๐Ÿค— Transformers library.",
explain: "While models from the ๐Ÿค— Transformers library are supported on the Hugging Face Hub, they're not the only ones!"
},
{
text: "All models with a similar interface to ๐Ÿค— Transformers.",
explain: "No interface requirement is set when uploading models to the Hugging Face Hub. "
},
{
text: "There are no limits.",
explain: "Right! There are no limits when uploading models to the Hub.",
correct: true
},
{
text: "Models that are in some way related to NLP.",
explain: "No requirement is set regarding the field of application!"
}
]}
/>
### 2. How can you manage models on the Hub?
<Question
choices={[
{
text: "Through a GCP account.",
explain: "Incorrect!"
},
{
text: "Through peer-to-peer distribution.",
explain: "Incorrect!"
},
{
text: "Through git and git-lfs.",
explain: "Correct! Models on the Hub are simple Git repositories, leveraging <code>git-lfs</code> for large files.",
correct: true
}
]}
/>
### 3. What can you do using the Hugging Face Hub web interface?
<Question
choices={[
{
text: "Fork an existing repository.",
explain: "Forking a repository is not possible on the Hugging Face Hub."
},
{
text: "Create a new model repository.",
explain: "Correct! That's not all you can do, though.",
correct: true
},
{
text: "Manage and edit files.",
explain: "Correct! That's not the only right answer, though.",
correct: true
},
{
text: "Upload files.",
explain: "Right! But that's not all.",
correct: true
},
{
text: "See diffs across versions.",
explain: "Correct! That's not all you can do, though.",
correct: true
}
]}
/>
### 4. What is a model card?
<Question
choices={[
{
text: "A rough description of the model, therefore less important than the model and tokenizer files.",
explain: "It is indeed a description of the model, but it's an important piece: if it's incomplete or absent the model's utility is drastically reduced."
},
{
text: "A way to ensure reproducibility, reusability, and fairness.",
explain: "Correct! Sharing the right information in the model card will help users leverage your model and be aware of its limits and biases. ",
correct: true
},
{
text: "A Python file that can be run to retrieve information about the model.",
explain: "Model cards are simple Markdown files."
}
]}
/>
### 5. Which of these objects of the ๐Ÿค— Transformers library can be directly shared on the Hub with `push_to_hub()`?
{#if fw === 'pt'}
<Question
choices={[
{
text: "A tokenizer",
explain: "Correct! All tokenizers have the <code>push_to_hub</code> method, and using it will push all the tokenizer files (vocabulary, architecture of the tokenizer, etc.) to a given repo. That's not the only right answer, though!",
correct: true
},
{
text: "A model configuration",
explain: "Right! All model configurations have the <code>push_to_hub</code> method, and using it will push them to a given repo. What else can you share?",
correct: true
},
{
text: "A model",
explain: "Correct! All models have the <code>push_to_hub</code> method, and using it will push them and their configuration files to a given repo. That's not all you can share, though.",
correct: true
},
{
text: "A Trainer",
explain: "That's right โ€” the <code>Trainer</code> also implements the <code>push_to_hub</code> method, and using it will upload the model, its configuration, the tokenizer, and a model card draft to a given repo. Try another answer!",
correct: true
}
]}
/>
{:else}
<Question
choices={[
{
text: "A tokenizer",
explain: "Correct! All tokenizers have the <code>push_to_hub</code> method, and using it will push all the tokenizer files (vocabulary, architecture of the tokenizer, etc.) to a given repo. That's not the only right answer, though!",
correct: true
},
{
text: "A model configuration",
explain: "Right! All model configurations have the <code>push_to_hub</code> method, and using it will push them to a given repo. What else can you share?",
correct: true
},
{
text: "A model",
explain: "Correct! All models have the <code>push_to_hub</code> method, and using it will push them and their configuration files to a given repo. That's not all you can share, though.",
correct: true
},
{
text: "All of the above with a dedicated callback",
explain: "That's right โ€” the <code>PushToHubCallback</code> will regularly send all of those objects to a repo during training.",
correct: true
}
]}
/>
{/if}
### 6. What is the first step when using the `push_to_hub()` method or the CLI tools?
<Question
choices={[
{
text: "Log in on the website.",
explain: "This won't help you on your local machine."
},
{
text: "Run 'huggingface-cli login' in a terminal.",
explain: "Correct โ€” this will download and cache your personal token.",
correct: true
},
{
text: "Run 'notebook_login()' in a notebook.",
explain: "Correct โ€” this will display a widget to let you authenticate.",
correct: true
},
]}
/>
### 7. You're using a model and a tokenizer โ€” how can you upload them to the Hub?
<Question
choices={[
{
text: "By calling the push_to_hub method directly on the model and the tokenizer.",
explain: "Correct!",
correct: true
},
{
text: "Within the Python runtime, by wrapping them in a <code>huggingface_hub</code> utility.",
explain: "Models and tokenizers already benefit from <code>huggingface_hub</code> utilities: no need for additional wrapping!"
},
{
text: "By saving them to disk and calling <code>transformers-cli upload-model</code>",
explain: "The command <code>upload-model</code> does not exist."
}
]}
/>
### 8. Which git operations can you do with the `Repository` class?
<Question
choices={[
{
text: "A commit.",
explain: "Correct, the <code>git_commit()</code> method is there for that.",
correct: true
},
{
text: "A pull",
explain: "That is the purpose of the <code>git_pull()</code> method.",
correct: true
},
{
text: "A push",
explain: "The method <code>git_push()</code> does this.",
correct: true
},
{
text: "A merge",
explain: "No, that operation will never be possible with this API."
}
]}
/>
<EditOnGithub source="https://github.com/huggingface/course/blob/main/chapters/en/chapter4/6.mdx" />

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