Instructions to use Ahmed235/bart-large-cnn-finetuned-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ahmed235/bart-large-cnn-finetuned-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ahmed235/bart-large-cnn-finetuned-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("Ahmed235/bart-large-cnn-finetuned-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21518240fc5c473531750947ab2075e81d3e22a8aeacbe7be52f409b7611a76d
- Size of remote file:
- 1.63 GB
- SHA256:
- 6dd650224de3c2b934bff279f2c2ce51489a0b0a3facf06cb2a9bda73b171dec
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