Instructions to use Aktsvigun/bart-base_xsum_3198548 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aktsvigun/bart-base_xsum_3198548 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/bart-base_xsum_3198548") model = AutoModelForSeq2SeqLM.from_pretrained("Aktsvigun/bart-base_xsum_3198548", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94075f082a414a3afa2dfb827488a375c15ded0d1613d40ed7a757bfd853cfb4
- Size of remote file:
- 558 MB
- SHA256:
- 83e042937397a454d5224138a9727511eee900adcec8240f680530b45e7b8493
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