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:
- 8e2cf5cfa6ab8750c3ed22f9e0bb946968f35ff7d430e8288a2de66615525e06
- Size of remote file:
- 3.96 kB
- SHA256:
- d87e067f6892673306f2c3a50eb64968647155d25187154423aea6d3d63ea262
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