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Transformers for Natural Language Processing by Denis Rothman (True AZW)
https://DevCourseWeb.com
English | 2022 | ISBN: 1803247339 | 565 pages | True AZW | 3 MB
Under the hood working of transformers, fine-tuning GPT-3 models, DeBERTa, vision models, and the start of Metaverse, using a variety of NLP platforms: Hugging Face, OpenAI API, Trax, and AllenNLP
Key Features
Implement models, such as BERT, Reformer, and T5, that outperform classical language models
Compare NLP applications using GPT-3, GPT-2, and other transformers
Analyze advanced use cases, including polysemy, cross-lingual learning, and computer vision
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Introduction to Transformers for NLP - With the Hugging Face Library and Models to Solve Problems Posted by
freecoursewb in Books
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7.6 MB | freecoursewb | 3 years | 1 | 1 |
| 4.36 MB | andryold1 | 3 years | 2 | 0 | |
| 10.1 MB | freecoursewb | 4 years | 5 | 1 | |
| 17.37 MB | andryold1 | 4 years | 2 | 0 | |
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Transformers for Natural Language Processing by Denis Rothman Posted by
freecoursewb in Books
> Ebooks
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16.5 MB | freecoursewb | 4 years | 2 | 10 |
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