Instructions to use liamvbetts/bart-large-cnn-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liamvbetts/bart-large-cnn-v4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("liamvbetts/bart-large-cnn-v4") model = AutoModelForSeq2SeqLM.from_pretrained("liamvbetts/bart-large-cnn-v4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e539f3d19a2f45f641a56c711181cff6bd583967baf8341f53c4c5f3b3fc205
- Size of remote file:
- 1.63 GB
- SHA256:
- 36d2a55392ea09bea210b9470b9829ab4b6277c1014358b1bd49f9ea6f1eb175
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