WEBVTT 00:00.530 --> 00:05.750 And so at the beginning of this week, we started by talking about hugging face pipelines. 00:05.750 --> 00:08.750 And you used all the different pipeline. 00:08.750 --> 00:13.130 Not actually not all of them, because there's so many, but we use many of the most common pipelines 00:13.130 --> 00:15.980 to do every day inference tasks. 00:15.980 --> 00:23.000 And now today we looked at Tokenizers and you are well versed in Tokenizers, and hopefully a lot has 00:23.000 --> 00:27.560 come together in terms of your understanding of what they mean and how they work, and special tokens 00:27.560 --> 00:29.060 and all the like. 00:29.150 --> 00:37.760 So next time, next time we start to work with models and this is when we can use the underlying hugging 00:37.790 --> 00:44.870 face code that is a wrapper around PyTorch or TensorFlow code to generate text and compare the results 00:44.870 --> 00:48.170 across multiple open source models. 00:48.170 --> 00:51.590 And that's going to be a ton of fun and I'm looking forward to it.