Instructions to use Aktsvigun/bart-base_xsum_7629317 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aktsvigun/bart-base_xsum_7629317 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/bart-base_xsum_7629317") model = AutoModelForSeq2SeqLM.from_pretrained("Aktsvigun/bart-base_xsum_7629317", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5aed662c27ee02e51fd28c50738153ead30f64e2507a2afea4ae52546ee4d7cc
- Size of remote file:
- 558 MB
- SHA256:
- 629b0c04e6e9a2c3341943ce0b486df467dafb1e8c4c45baa32623a64e43df14
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