Instructions to use Moatasem22/bart_CNN_NLP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Moatasem22/bart_CNN_NLP with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Moatasem22/bart_CNN_NLP") model = AutoModelForSeq2SeqLM.from_pretrained("Moatasem22/bart_CNN_NLP", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85b88ef61da3b47f7b0d20132866c0f6de131f897302c7313d82bc79962099bb
- Size of remote file:
- 4.86 kB
- SHA256:
- 631aeeb0ec57ad71e18458557cbaf9cd921b4351be1dd99aba60d88d3dae5120
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