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Feature Extraction with Language Model (Hugging Face Transformers)
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Welcome to another exciting tutorial! In this video, we explore the world of text classification using Hugging Face Transformers and dive deep into a hands-on project with DistilBERT. From tokenization to training a text classifier, we uncover the magic behind the scenes.
🚀 Key Highlights:
Overview of the Rotten Tomatoes Movie Review Dataset.
Importing necessary libraries and downloading the dataset.
In-depth exploration of tokenization using DistilBERT.
Understanding tokenization output and converting tokens back to text.
Exploring tokenizer attributes and tokenizing the entire dataset.
Feature extraction with DistilBERT for training a text classifier.
Training a logistic regression classifier and evaluating accuracy.
🔍 Resources:
Rotten Tomatoes Movie Review Dataset: Dataset Link
📚 Additional Reading:
Hugging Face Transformers Documentation
DistilBERT Paper
👩💻 Code Snippets:
Explore the code used in this tutorial on GitHub. Feel free to fork, experiment, and share your insights!
🤓 Stay Connected:
👍 If you found this tutorial helpful, don't forget to like, subscribe, and hit the notification bell for more exciting content! Happy coding! 🚀
🚀 Key Highlights:
Overview of the Rotten Tomatoes Movie Review Dataset.
Importing necessary libraries and downloading the dataset.
In-depth exploration of tokenization using DistilBERT.
Understanding tokenization output and converting tokens back to text.
Exploring tokenizer attributes and tokenizing the entire dataset.
Feature extraction with DistilBERT for training a text classifier.
Training a logistic regression classifier and evaluating accuracy.
🔍 Resources:
Rotten Tomatoes Movie Review Dataset: Dataset Link
📚 Additional Reading:
Hugging Face Transformers Documentation
DistilBERT Paper
👩💻 Code Snippets:
Explore the code used in this tutorial on GitHub. Feel free to fork, experiment, and share your insights!
🤓 Stay Connected:
👍 If you found this tutorial helpful, don't forget to like, subscribe, and hit the notification bell for more exciting content! Happy coding! 🚀
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