The tokenization pipeline
3:23
YouTubeHuggingFace
The tokenization pipeline
What happens when we call a tokenizer on some texts, and how does it compute the numbers it outputs? This video is part of the Hugging Face course: http://huggingface.co/course Open in colab to run the code samples: https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/videos/tokenizer_pipeline.ipynb Related videos ...
30.2K viewsJun 14, 2021
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How does it work? ⚙️ Your text -> Tokenization -> Neural Network (Feed Forward) -> DSP Parameters -> Sound. All in milliseconds. See the full diagram on our Kickstarter page.  #coding #cpp #juce | Sound Jawn Plugs | Facebook
How does it work? ⚙️ Your text -> Tokenization -> Neural Network (Feed Forward) -> DSP Parameters -> Sound. All in milliseconds. See the full diagram on our Kickstarter page.  #coding #cpp #juce | Sound Jawn Plugs | Facebook
Facebook1 month ago
Text data is everywhere. Are you ready to make sense of it... for free? 💸 🐍 🗣️ Dive into our new Natural Language Processing in #Python course. Through interactive exercises, learn to clean, process, and analyze text data—before using #HuggingFace to apply state-of-the-art transformer models. You’ll master: ▸ Text processing fundamentals: Tokenization, stemming, lemmatization ▸ Extracting text features: Bag-of-words, TF-IDF, embeddings ▸ Sentiment analysis, content classification, text genera
Text data is everywhere. Are you ready to make sense of it... for free? 💸 🐍 🗣️ Dive into our new Natural Language Processing in #Python course. Through interactive exercises, learn to clean, process, and analyze text data—before using #HuggingFace to apply state-of-the-art transformer models. You’ll master: ▸ Text processing fundamentals: Tokenization, stemming, lemmatization ▸ Extracting text features: Bag-of-words, TF-IDF, embeddings ▸ Sentiment analysis, content classification, text genera
Facebook6 months ago
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