Instructions to use ModelTC/bart-base-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/bart-base-cnn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ModelTC/bart-base-cnn")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ModelTC/bart-base-cnn") model = AutoModel.from_pretrained("ModelTC/bart-base-cnn") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f38a66196f05a94f41bdc06bcc8cf45255eda136d06a373258060019db1687cf
- Size of remote file:
- 558 MB
- SHA256:
- faa42bee8c4b0f3d11d375f7eddbb63c671b42e26f9e9212aa6ade1203c66988
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