Text tokenizing

In this exercise, you will use the flickr dataset, which has 30,000 images and associated captions, to perform preprocessing operations on text. This is necessary to be used by models for tasks such as text classification. This is especially useful for multi-modal applications where Hugging Face models can be used to check caption suitability for an associated image.

The dataset (dataset) has been loaded and the AutoTokenizer has been imported.

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Multi-Modal Models with Hugging Face

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Testa den här övningen genom att slutföra den här exempelkoden.

# Load the first caption from the image at index 5
text = dataset[5]["____"][0]
print(text)

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Den här övningen är en del av kursen

Multi-Modal Models with Hugging Face

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Navigate the Hugging Face model hub, transform raw text, audio, and visual data into AI-friendly formats. Learn how to find the latest most popular models for tasks such as text generation and harness the power of pre-built pipelines.

Exercise 1: Hugging Face model navigation Exercise 2: How many models!?Exercise 3: Finding the most popular text-to-image model Exercise 4: Preprocessing different modalities Exercise 5: Text tokenizing

Aktuell övning

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