Instructions to use ektvho/bart-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ektvho/bart-cnn with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ektvho/bart-cnn", trust_remote_code=True) model = AutoModelForSeq2SeqLM.from_pretrained("ektvho/bart-cnn", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 496bf3903a4136afd8ca0346cdf4fa3a1fd5ca4bfe9301ec8d621c00686f72c5
- Size of remote file:
- 577 MB
- SHA256:
- 752f256f0d489c1e9e38a5b29bc3081757fee122f14fef8f237c5b99964c014e
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