Transformers-for-NLP-2nd-Edition
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speec
Learn how to fine-tune and use various transformer models for tasks like text generation and image creation.
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Free · no card · unsubscribe anytimeTransformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speec
Transformers-for-NLP-2nd-Edition has 964 stars on GitHub. It has been forked 360 times. Transformers-for-NLP-2nd-Edition is written mainly in Jupyter Notebook. It has been in active development since 2022. Transformers-for-NLP-2nd-Edition is available under the MIT license. Its main topics are bert, chatgpt, chatgpt-api, dall-e.
What is Transformers-for-NLP-2nd-Edition?
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speec
Is Transformers-for-NLP-2nd-Edition open source?
Transformers-for-NLP-2nd-Edition is an open-source project. It is released under the MIT license.
Is Transformers-for-NLP-2nd-Edition free?
Yes. Transformers-for-NLP-2nd-Edition is free and open source — you can use, modify and self-host it.
What license does Transformers-for-NLP-2nd-Edition use?
Transformers-for-NLP-2nd-Edition is available under the MIT license.
What language is Transformers-for-NLP-2nd-Edition written in?
Transformers-for-NLP-2nd-Edition is written mainly in Jupyter Notebook.
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