Each framework has a generate method for text generation implemented in their respective GenerationMixin class. Text generation strategies · Model outputs · 생성 · Text generation |
This output is a data structure containing all the information returned by generate(), but that can also be used as tuple or dictionary. |
Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. - transformers/src/transformers/generation/utils.py at main ... |
11 июл. 2023 г. · To generate text using transformers and GPT2 model, if you're not particular about modifying different generation features you can use the pipeline function. |
This blog post gives a brief overview of different decoding strategies and more importantly shows how you can implement them with very little effort. |
5 февр. 2023 г. · Review of what text generation is and where we use it. How to generate texts with Hugging face Transformers (just a few lines of code). |
A generative pre-trained transformer (GPT) is a type of large language model (LLM) and a prominent framework for generative artificial intelligence. |
31 мая 2023 г. · Introducing Taiga, an RL-based method that utilizes the transformer architecture, which is capable of generating novel and diverse molecules. |
Generate a square causal mask for the sequence. The masked positions are filled with float('-inf'). Unmasked positions are filled with float(0.0). Return ... |
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