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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@@ -15,12 +15,12 @@ limitations under the License.
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# Examples
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This folder contains actively maintained examples of use of 🤗 Transformers using the PyTorch backend, organized along NLP tasks.
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This folder contains actively maintained examples of use of 🤗 Transformers using the PyTorch backend, organized by ML task.
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## The Big Table of Tasks
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Here is the list of all our examples:
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- with information on whether they are **built on top of `Trainer``** (if not, they still work, they might
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- with information on whether they are **built on top of `Trainer`** (if not, they still work, they might
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just lack some features),
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- whether or not they have a version using the [🤗 Accelerate](https://github.com/huggingface/accelerate) library.
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- whether or not they leverage the [🤗 Datasets](https://github.com/huggingface/datasets) library.
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