Just re-reading the whole doc every couple of months 😬 (#18489)
* Delete valohai.yaml * NLP => ML * typo * website supports https * datasets * 60k + modalities * unrelated link fixing for accelerate * Ok those links were actually broken * Fix link * Make `AutoTokenizer` auto-link * wording tweak * add at least one non-nlp task
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@@ -16,7 +16,7 @@ specific language governing permissions and limitations under the License.
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This page shows the most frequent use-cases when using the library. The models available allow for many different
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configurations and a great versatility in use-cases. The most simple ones are presented here, showcasing usage for
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tasks such as question answering, sequence classification, named entity recognition and others.
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tasks such as image classification, question answering, sequence classification, named entity recognition and others.
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These examples leverage auto-models, which are classes that will instantiate a model according to a given checkpoint,
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automatically selecting the correct model architecture. Please check the [`AutoModel`] documentation
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