Instructions to use vapit/bart-fine-tuned-for-text-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vapit/bart-fine-tuned-for-text-summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vapit/bart-fine-tuned-for-text-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("vapit/bart-fine-tuned-for-text-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Updated model weights after epoch 1
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Updated model weights after epoch 1
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Training in progress epoch 0
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End of training
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