Instructions to use taln-ls2n/bart-base-kp20k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taln-ls2n/bart-base-kp20k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("taln-ls2n/bart-base-kp20k") model = AutoModelForSeq2SeqLM.from_pretrained("taln-ls2n/bart-base-kp20k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc272e08be707bb74d3a1fdac055b5591780b4b6a36ffcaed1133ac5bd04cdad
- Size of remote file:
- 558 MB
- SHA256:
- 638a57f8977a825e798393802a2d2d420e901f70c44209b4e11519d65a4a3952
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