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Mastering HuggingFace Transformers: Step-By-Step Guide to Model Finetuning & Inference Pipeline
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AI models are built with help of Neural Networks, which are implemented in frameworks like Pytorch/ TensorFlow. Transformer library abstracts away the repetetive aspects of creating the model architecture, and provides a easier way of creating, loading and inferencing the results from the AI models. Video introduces the transformers modules overview.
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@twitter Handle is @KQrios
The data and the code is located at
Hope you like this video, and subscribe to the channel. Further uploads related to Big Data, Large Language models and Artificial Intelligence will be shared to your Youtube Dashboard Directly.
The supporting playlists are
Practical Projects Playlist
Huggingface Playlist
Python Data Engineering Playlist
Python Ecosystem of Libraries
ChatGPT and AI Playlist
AWS and Python AWS Wrangler
PS: Got a question or have a feedback on my content. Get in touch
By leaving a Comment in the video
@twitter Handle is @KQrios
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