Создайте собственную ИИ модель с Hugging Face [en] - part2

[zerotomastery.io] Создайте собственную ИИ модель с Hugging Face [en] - part2 26 Performing Inference - Part 2 Using a Transformers Pipeline (one sample at a time) 27 Performing Inference - Part 3 Using a Transformers Pipeline on Multiple Samples at a Time (Batching) 28 Performing Inference - Part 4 Running Speed Tests to Compare One at a Time vs. Batched Predictions 29 Performing Inference - Part 5 Performing Inference with PyTorch 30 OPTIONAL - Putting It All Together from Data Loading, to Model Training, to making Predictions on Custom Data 31 Turning Our Model into a Demo - Part 1 Gradio Overview 32 Turning Our Model into a Demo - Part 2 Building a Function to Map Inputs to Outputs 33 Turning Our Model into a Demo - Part 3 Getting Our Gradio Demo Running Locally 34 Making Our Demo Publicly Accessible - Part 1 Introduction to Hugging Face Spaces and Creating a Demos Directory 35 Making Our Demo Publicly Accessible - Part 2 Creating an App File 36 Making Our Demo Publicly Accessible - Part 3 Creating a README File 37 Making Our Demo Publicly Accessible - Part 4 Making a Requirements File 38 Making Our Demo Publicly Accessible - Part 5 Uploading Our Demo to Hugging Face Spaces and Making it Publicly Available 39 Summary Exercises and Extensions #HuggingFace