# Tutorials

We provide step-by-step guides to get you started. We cover the following use-cases:

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=== card {: href=/tutorials/spacy101 }

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    **Spacy representations**

    ---

    Learn the basics of how documents are represented with spaCy.

=== card {: href=/tutorials/matching-a-terminology }

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    **Matching a terminology**

    ---

    Extract phrases that belong to a given terminology.

=== card {: href=/tutorials/qualifying-entities }

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    **Qualifying entities**

    ---

    Ensure extracted concepts are not invalidated by linguistic modulation.

=== card {: href=/tutorials/detecting-dates }

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    **Detecting dates**

    ---

    Detect and parse dates in a text.

=== card {: href=/tutorials/multiple-texts }

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    **Processing multiple texts**

    ---

    Improve the inference speed of your pipeline

=== card {: href=/tutorials/reason }

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    **Detecting hospitalisation reason**

    ---

    Identify spans mentioning the reason for hospitalisation or tag entities as the reason.

=== card {: href=/tutorials/endlines }

    ↵ **Detecting false endlines**

    ---

    Classify each line end and add the `excluded` attribute to these tokens.

=== card {: href=/tutorials/aggregating-results }

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    **Aggregating results**

    ---

    Aggregate the results of your pipeline at the document level.

=== card {: href=/advanced-tutorials/fastapi }

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    **FastAPI**

    ---

    Deploy your pipeline as an API.

=== card {: href=/tutorials/visualization }

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    **Visualization**

    ---

    Quickly visualize the results of your pipeline as annotations or tables.

=== card {: href=/tutorials/make-a-training-script }

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    **Deep learning tutorial**

    ---

    Learn how EDS-NLP handles training deep-neural networks.

=== card {: href=/tutorials/training }

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    **Training API**

    ---

    Learn how to quicky train a deep-learning model with `edsnlp.train`.

=== card {: href=/tutorials/tuning }

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    **Hyperparameter Tuning**

    ---

    Learn how to tune hyperparameters of a model with `edsnlp.tune`.

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