Applied AI Getting Started with Hugging Face Transformers

Files Included :

01 - Getting started with Transformers mp4.mp4 (11.87 MB)
MP4
02 - Course coverage and prerequisites mp4.mp4 (3.9 MB)
MP4
03 - Setting up the exercise files mp4.mp4 (7.71 MB)
MP4
04 - Natural language processing mp4.mp4 (5.38 MB)
MP4
05 - ML process for NLP mp4.mp4 (3.36 MB)
MP4
06 - Labeling for NLP mp4.mp4 (5.4 MB)
MP4
07 - Tokenization mp4.mp4 (4.53 MB)
MP4
08 - Vectorization mp4.mp4 (4.41 MB)
MP4
09 - What is a Transformer？ mp4.mp4 (3.42 MB)
MP4
10 - Positional encoding mp4.mp4 (3.17 MB)
MP4
11 - Attention in Transformers mp4.mp4 (8.62 MB)
MP4
12 - The encoder mp4.mp4 (5.96 MB)
MP4
13 - The decoder mp4.mp4 (6.6 MB)
MP4
14 - Transformer training and inference mp4.mp4 (3.18 MB)
MP4
15 - Challenges with building Transformers mp4.mp4 (5.19 MB)
MP4
16 - A language model mp4.mp4 (2.54 MB)
MP4
17 - Pretrained Transformer models mp4.mp4 (4.6 MB)
MP4
18 - The BERT Transformer mp4.mp4 (2.83 MB)
MP4
19 - The GPT Transformer mp4.mp4 (2.61 MB)
MP4
20 - The T5 Transformer mp4.mp4 (1.87 MB)
MP4
21 - Introduction to Hugging Face mp4.mp4 (4.01 MB)
MP4
22 - Pretrained models in Hugging Face mp4.mp4 (8.09 MB)
MP4
23 - Datasets in Hugging Face mp4.mp4 (5.7 MB)
MP4
24 - Pipelines in Hugging Face mp4.mp4 (2.67 MB)
MP4
25 - Training with Hugging Face mp4.mp4 (3.53 MB)
MP4
26 - The sentiment analysis problem mp4.mp4 (1.78 MB)
MP4
27 - Reviewing pipeline tasks mp4.mp4 (6.43 MB)
MP4
28 - Loading a pipeline mp4.mp4 (4.8 MB)
MP4
29 - Predicting sentiment with Pipelines mp4.mp4 (4.48 MB)
MP4
30 - Using a custom model mp4.mp4 (6.16 MB)
MP4
31 - Introduction to named entity recognition mp4.mp4 (4.12 MB)
MP4
32 - Running the standard NER pipeline mp4.mp4 (4.68 MB)
MP4
33 - Understanding the model architecture mp4.mp4 (6.14 MB)
MP4
34 - Reviewing model configuration mp4.mp4 (3.01 MB)
MP4
35 - Using a custom model and tokenizer mp4.mp4 (5.39 MB)
MP4
36 - Continuing with Transformers mp4.mp4 (1.63 MB)
MP4