Instructions to use inditechie/Bart_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inditechie/Bart_summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("inditechie/Bart_summarization") model = AutoModelForSeq2SeqLM.from_pretrained("inditechie/Bart_summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 466298e4f6d828f46730b09140ab9e81fe7d0908ac9b68286de9203550e1e32a
- Size of remote file:
- 1.63 GB
- SHA256:
- b5b8790f449a094106dbb2317a5bf050d4f0e58204f86aa67123cbdaa9a63bd5
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