Instructions to use CICLAB-Comillas/BARTSumpson with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CICLAB-Comillas/BARTSumpson with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CICLAB-Comillas/BARTSumpson") model = AutoModelForSeq2SeqLM.from_pretrained("CICLAB-Comillas/BARTSumpson", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4607bd47c8bb96f597f0e44ac27e0ba12ca8f9a50db144915532fde89a53bc3
- Size of remote file:
- 3.25 GB
- SHA256:
- 2269ba175c0ddb85ee39653cf80fdc8b608fadb676cf88ffda4a5da3ec8cd6c6
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