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:
- 854242e3a87b694112f71a3cba95730731d55a6930e3290ff2aff7c676c0ab1b
- Size of remote file:
- 1.63 GB
- SHA256:
- b5bae1961e1eb654de469a18628bea3d1b9f358fe15078c50490ff9637751294
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