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:
- 470297909b583288b2c745d35f4f672458f165fe5b929f53d8d13de162beb33b
- Size of remote file:
- 4.73 kB
- SHA256:
- d4011379c2d20f93da2906f794c7ff134a3efd52081bbad3ee71c66b7ad64f93
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