LinkedIn Learning - Applied AI Getting Started with Hugging Face Transformers

Files Included :

01 - Getting started with Transformers mp4.mp4 (11.87 MB)
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02 - Course coverage and prerequisites mp4.mp4 (3.9 MB)
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03 - Setting up the exercise files mp4.mp4 (7.71 MB)
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04 - Natural language processing mp4.mp4 (5.38 MB)
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05 - ML process for NLP mp4.mp4 (3.36 MB)
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06 - Labeling for NLP mp4.mp4 (5.4 MB)
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07 - Tokenization mp4.mp4 (4.53 MB)
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08 - Vectorization mp4.mp4 (4.41 MB)
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09 - What is a Transformer？ mp4.mp4 (3.42 MB)
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10 - Positional encoding mp4.mp4 (3.17 MB)
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11 - Attention in Transformers mp4.mp4 (8.62 MB)
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12 - The encoder mp4.mp4 (5.96 MB)
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13 - The decoder mp4.mp4 (6.6 MB)
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14 - Transformer training and inference mp4.mp4 (3.18 MB)
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15 - Challenges with building Transformers mp4.mp4 (5.19 MB)
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16 - A language model mp4.mp4 (2.54 MB)
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17 - Pretrained Transformer models mp4.mp4 (4.6 MB)
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18 - The BERT Transformer mp4.mp4 (2.83 MB)
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19 - The GPT Transformer mp4.mp4 (2.61 MB)
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20 - The T5 Transformer mp4.mp4 (1.87 MB)
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21 - Introduction to Hugging Face mp4.mp4 (4.01 MB)
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22 - Pretrained models in Hugging Face mp4.mp4 (8.09 MB)
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23 - Datasets in Hugging Face mp4.mp4 (5.7 MB)
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24 - Pipelines in Hugging Face mp4.mp4 (2.67 MB)
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25 - Training with Hugging Face mp4.mp4 (3.53 MB)
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26 - The sentiment analysis problem mp4.mp4 (1.78 MB)
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27 - Reviewing pipeline tasks mp4.mp4 (6.43 MB)
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28 - Loading a pipeline mp4.mp4 (4.8 MB)
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29 - Predicting sentiment with Pipelines mp4.mp4 (4.48 MB)
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30 - Using a custom model mp4.mp4 (6.16 MB)
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31 - Introduction to named entity recognition mp4.mp4 (4.12 MB)
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32 - Running the standard NER pipeline mp4.mp4 (4.68 MB)
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33 - Understanding the model architecture mp4.mp4 (6.14 MB)
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34 - Reviewing model configuration mp4.mp4 (3.01 MB)
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35 - Using a custom model and tokenizer mp4.mp4 (5.39 MB)
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36 - Continuing with Transformers mp4.mp4 (1.63 MB)
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