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:
- f6d036b3f2f990e9e4438655d5d0891ed8ebf8f36cd0e9f675ec28c0a905aa6a
- Size of remote file:
- 1.63 GB
- SHA256:
- daa6231ce97406c5867de8b67d4eca67bf552850b96ec97fbee136bce140f8bb
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