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  Use GoogleColab to train a model on GPU for free.
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  Training notebook for this application: https://colab.research.google.com/drive/1mC1b5KkkGJRcqtaRH09Qb25NZelCGnIZ?usp=sharing
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+ # Huggingface Workshop
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+ Huggingface has become an essential hub for the artifical intelligence community to share models, datasets and intelligent applications.
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+ Discover it with us.
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+ Decide on an AI usecase.
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+ Pick a dataset to learn from from [Datasets](https://huggingface.co/datasets).
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+ 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.
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+ Train the model.
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  Use GoogleColab to train a model on GPU for free.
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  Training notebook for this application: https://colab.research.google.com/drive/1mC1b5KkkGJRcqtaRH09Qb25NZelCGnIZ?usp=sharing
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+ 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.
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+ Done :)
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