BART is a transformer encoder-decoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. BART is pre-trained by ...

This model is a fine-tuned version of facebook/bart-base on the None dataset. Model description More information needed Intended uses & limitations

The model facebook bart base is a Natural Language Processing (NLP) Model implemented in Transformer library, generally using the Python programming language.

4 дня назад · """Summarizes text using a pre-trained model.""" def __init__(self, model_name: str = "facebook/bart-base", device: str = "mps"): " ...

12 дек. 2022 г. · The facebook/bart-base model has 139M parameters. It is just the right size to see it work on Google Colabs. The bigger models such as facebook ...

28 июн. 2023 г. · Here I will show you the steps I took to finetune the facebook/bart-large-mnli model for my text classifications.