---
title: Huggingface Workshop
emoji: 😻
colorFrom: yellow
colorTo: gray
sdk: streamlit
sdk_version: 1.41.1
app_file: app.py
pinned: false
---

# Huggingface Workshop
Huggingface has become an essential hub for the artifical intelligence community to share models, datasets and intelligent applications.

Discover it with us.

Decide on an AI usecase.

Pick a dataset to learn from from [Datasets](https://huggingface.co/datasets).

Explore the dataset and prepare it for training.

Pick a model to learn from the chosen data from [Models](https://huggingface.co/models). To save time choose a pre-trained model that you want to refine for the specific usecase.

Train the model.

Use GoogleColab to train a model on GPU for free.
Training notebook for this application: https://colab.research.google.com/drive/1mC1b5KkkGJRcqtaRH09Qb25NZelCGnIZ?usp=sharing

Deploy the model with [Spaces](https://huggingface.co/spaces) and build an interface so that the model's behavior can be tested. Using spaces you can run your model on minimal but often sufficient hardware for free.

Done :)

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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference