Instructions to use Aktsvigun/bart-base_xsum_4006598 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aktsvigun/bart-base_xsum_4006598 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/bart-base_xsum_4006598") model = AutoModelForSeq2SeqLM.from_pretrained("Aktsvigun/bart-base_xsum_4006598", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 880266976cbf104653528d05e150eae54c7eeb005864daf2ce191f8845d6081e
- Size of remote file:
- 558 MB
- SHA256:
- 1e84a4b319283bc51eaa5a6980f1b736365a0680ef6caac7574fd1a345f4f08f
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