Instructions to use morenolq/distilbart-bbc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use morenolq/distilbart-bbc with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("morenolq/distilbart-bbc") model = AutoModelForSeq2SeqLM.from_pretrained("morenolq/distilbart-bbc") - Notebooks
- Google Colab
- Kaggle
This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on the BBC News Summary dataset (https://www.kaggle.com/pariza/bbc-news-summary).
The model has been generated as part of the in-lab practice of Deep NLP course currently held at Politecnico di Torino.
Training parameters:
num_train_epochs=2fp16=Trueper_device_train_batch_size=1warmup_steps=10weight_decay=0.01max_seq_length=100
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Base model
sshleifer/distilbart-cnn-12-6